[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-29e3a9786ed855a8-mastering-llm-inference-at-scale-principles-and-op-summary":3,"summaries-facets-categories":205,"summary-related-29e3a9786ed855a8-mastering-llm-inference-at-scale-principles-and-op-summary":7549},{"id":4,"title":5,"ai":6,"body":13,"categories":159,"created_at":161,"date_modified":161,"description":151,"extension":162,"faq":161,"featured":163,"kicker_label":161,"meta":164,"navigation":184,"path":185,"published_at":186,"question":161,"scraped_at":187,"seo":188,"sitemap":189,"source_id":190,"source_name":191,"source_type":192,"source_url":193,"stem":194,"tags":195,"thumbnail_url":200,"tldr":201,"tweet":202,"unknown_tags":203,"__hash__":204},"summaries\u002Fsummaries\u002F29e3a9786ed855a8-mastering-llm-inference-at-scale-principles-and-op-summary.md","Mastering LLM Inference at Scale: Principles and Optimization",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",8724,995,4742,0.0036735,{"type":14,"value":15,"toc":150},"minimark",[16,21,30,52,55,59,62,89,93,96,116,120,123,143,147],[17,18,20],"h2",{"id":19},"the-inference-trade-off-triangle","The Inference Trade-off Triangle",[22,23,24,25,29],"p",{},"Building production-ready LLM services requires managing a constant tension between three competing metrics: ",[26,27,28],"strong",{},"Quality, Latency, and Throughput",".",[31,32,33,40,46],"ul",{},[34,35,36,39],"li",{},[26,37,38],{},"Quality:"," Often tied to context length. Reducing context to fit more users on a GPU degrades model performance.",[34,41,42,45],{},[26,43,44],{},"Latency:"," Measured by Time to First Token (TTFT) and inter-token latency (decode speed).",[34,47,48,51],{},[26,49,50],{},"Throughput:"," The number of concurrent users a single GPU can support.",[22,53,54],{},"Every architectural decision involves sacrificing one of these to optimize the others. For example, a premium chat application prioritizes low latency and high quality, while an asynchronous agentic workload might prioritize throughput and quality, accepting higher latency.",[17,56,58],{"id":57},"understanding-the-bottlenecks","Understanding the Bottlenecks",[22,60,61],{},"Inference performance is dictated by the interaction between model weights and the KV (Key-Value) cache.",[31,63,64,70],{},[34,65,66,69],{},[26,67,68],{},"Memory Growth:"," The KV cache grows linearly with context length. For a Mistral 7B model, each token requires 131 KB of KV cache. At 16k context length and 80 concurrent users, the cache alone consumes 42 GB of VRAM, exceeding the capacity of standard 24 GB consumer cards.",[34,71,72,75],{},[26,73,74],{},"Pre-fill vs. Decode:",[31,76,77,83],{},[34,78,79,82],{},[26,80,81],{},"Pre-fill (Compute-bound):"," Processing input tokens to generate the initial KV cache. High arithmetic intensity; latency scales with input size.",[34,84,85,88],{},[26,86,87],{},"Decode (Memory-bound):"," Generating tokens one by one. The bottleneck is the memory bandwidth required to pull the KV cache for all previous tokens from High Bandwidth Memory (HBM) to the GPU's shared memory.",[17,90,92],{"id":91},"model-side-optimizations","Model-Side Optimizations",[22,94,95],{},"To reduce the footprint of the model itself, researchers use several techniques:",[31,97,98,104,110],{},[34,99,100,103],{},[26,101,102],{},"Quantization:"," Reducing the precision of model weights (e.g., from 16-bit to 4-bit) to free up VRAM for the KV cache.",[34,105,106,109],{},[26,107,108],{},"Attention Variants:"," Moving from standard Multi-Head Attention to Multi-Query Attention (MQA) or Grouped-Query Attention (GQA) to drastically reduce the size of the KV cache per token.",[34,111,112,115],{},[26,113,114],{},"Flash Attention & Tiling:"," Optimizing the attention mechanism to minimize memory reads\u002Fwrites by keeping data in faster, on-chip memory (SRAM) as long as possible.",[17,117,119],{"id":118},"serving-side-optimizations","Serving-Side Optimizations",[22,121,122],{},"Serving engines like vLLM and SGLang implement specific strategies to maximize GPU utilization:",[31,124,125,131,137],{},[34,126,127,130],{},[26,128,129],{},"Paged Attention:"," Borrowed from OS memory management, this allows non-contiguous memory allocation for the KV cache, eliminating memory fragmentation.",[34,132,133,136],{},[26,134,135],{},"Continuous Batching:"," Instead of waiting for a batch of requests to finish, the server injects new requests as soon as individual sequences complete, keeping the GPU saturated.",[34,138,139,142],{},[26,140,141],{},"Prefix Caching:"," Reusing the KV cache for common prompt prefixes (e.g., system prompts) across different requests, saving significant compute.",[17,144,146],{"id":145},"engine-selection","Engine Selection",[22,148,149],{},"For standard workloads, the choice between vLLM and SGLang is often negligible. However, when moving to complex agentic workflows—where branching logic and dynamic prompt generation occur—SGLang often outperforms vLLM by 3x to 4x due to its specialized handling of agentic state.",{"title":151,"searchDepth":152,"depth":152,"links":153},"",2,[154,155,156,157,158],{"id":19,"depth":152,"text":20},{"id":57,"depth":152,"text":58},{"id":91,"depth":152,"text":92},{"id":118,"depth":152,"text":119},{"id":145,"depth":152,"text":146},[160],"AI & LLMs",null,"md",false,{"content_references":165,"triage":179},[166,171,174],{"type":167,"title":168,"url":169,"context":170},"tool","vLLM","https:\u002F\u002Fgithub.com\u002Fvllm-project\u002Fvllm","recommended",{"type":167,"title":172,"url":173,"context":170},"SGLang","https:\u002F\u002Fgithub.com\u002Fsgl-project\u002Fsglang",{"type":175,"title":176,"author":177,"context":178},"paper","Attention Is All You Need","Vaswani et al.","mentioned",{"relevance":180,"novelty":181,"quality":181,"actionability":181,"composite":182,"reasoning":183},5,4,4.35,"Category: AI & LLMs. The article provides in-depth insights into optimizing LLM inference, addressing key pain points like managing quality, latency, and throughput, which are crucial for product builders. It offers specific techniques such as quantization and attention variants that can be directly applied in production settings.",true,"\u002Fsummaries\u002F29e3a9786ed855a8-mastering-llm-inference-at-scale-principles-and-op-summary","2026-09-08 15:00:06","2026-09-09 03:10:25",{"title":5,"description":151},{"loc":185},"29e3a9786ed855a8","AI Engineer","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=y2W4FNAuPEA","summaries\u002F29e3a9786ed855a8-mastering-llm-inference-at-scale-principles-and-op-summary",[196,197,198,199],"llm","ai-tools","python","dev-productivity","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002Fy2W4FNAuPEA\u002Fhqdefault.jpg","LLM inference is constrained by memory, latency, and throughput. Optimizing it requires balancing the trade-off triangle of quality, latency, and throughput through model-side techniques like quantization and serving-side strategies like paged attention.","This workshop provides a technical primer on the mechanics of LLM inference, focusing on why memory usage, latency, and throughput degrade as context length grows. The presenters walk through model-side optimizations (like quantization and attention variants) and serving-side strategies (like paged attention and continuous batching) to mitigate these bottlenecks.",[199],"gdN9m1o0kTxdvVVShknTgLYiP2AeQfU7fuwc8ddej-4",[206,208,211,213,216,218,221,224,226,228,230,232,235,238,240,242,244,246,249,251,253,255,257,260,262,264,266,268,270,272,274,276,278,280,282,284,286,288,290,292,294,296,298,300,302,304,306,308,310,312,315,317,319,321,323,325,327,329,331,333,335,337,339,341,343,346,348,350,352,354,356,358,360,362,364,366,368,370,372,374,376,378,380,382,384,387,389,391,393,395,397,399,401,403,405,407,409,411,413,415,417,419,422,424,426,428,430,432,434,436,438,440,442,444,446,448,450,452,454,456,458,460,462,464,466,468,470,472,474,476,478,480,482,484,486,488,490,493,495,497,499,501,503,505,507,509,511,513,516,518,520,522,524,526,528,530,532,534,536,538,540,542,544,546,549,551,553,555,557,559,561,563,565,567,569,571,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,643,645,647,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,689,691,693,695,697,699,701,703,705,707,709,711,713,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,822,824,826,828,830,832,834,836,838,840,842,844,846,848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1015,1017,1019,1021,1023,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,2306,2308,2310,2312,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3566,3568,3570,3572,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120,4122,4124,4126,4128,4130,4132,4134,4136,4138,4140,4142,4144,4146,4148,4150,4152,4154,4156,4158,4160,4162,4164,4166,4168,4170,4172,4174,4176,4178,4180,4182,4184,4186,4188,4190,4192,4194,4196,4198,4200,4202,4204,4206,4208,4210,4212,4214,4216,4218,4220,4222,4224,4226,4228,4230,4232,4234,4236,4238,4240,4242,4244,4246,4248,4250,4252,4254,4256,4258,4260,4262,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4294,4296,4298,4300,4302,4304,4306,4308,4310,4312,4314,4316,4318,4320,4322,4324,4326,4328,4330,4332,4334,4336,4338,4340,4342,4344,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4592,4594,4596,4598,4600,4602,4604,4606,4608,4610,4612,4614,4616,4618,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4682,4684,4686,4688,4690,4692,4694,4696,4698,4700,4702,4704,4706,4708,4710,4712,4714,4716,4718,4720,4722,4724,4726,4728,4730,4732,4734,4736,4738,4740,4742,4744,4746,4748,4750,4752,4754,4756,4758,4760,4762,4764,4766,4768,4770,4772,4774,4776,4778,4780,4782,4784,4786,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828,4830,4832,4834,4836,4838,4840,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4955,4957,4959,4961,4963,4965,4967,4969,4971,4973,4975,4977,4979,4981,4983,4985,4987,4989,4991,4993,4995,4997,4999,5001,5003,5005,5007,5009,5011,5013,5015,5017,5019,5021,5023,5025,5027,5029,5031,5033,5035,5037,5039,5041,5043,5045,5047,5049,5051,5053,5055,5057,5059,5061,5063,5065,5067,5069,5071,5073,5075,5077,5079,5081,5083,5085,5087,5089,5091,5093,5095,5097,5099,5101,5103,5105,5107,5109,5111,5113,5115,5117,5119,5121,5123,5125,5127,5129,5131,5133,5135,5137,5139,5141,5143,5145,5147,5149,5151,5153,5155,5157,5159,5161,5163,5165,5167,5169,5171,5173,5175,5177,5179,5181,5183,5185,5187,5189,5191,5193,5195,5197,5199,5201,5203,5205,5207,5209,5211,5213,5215,5217,5219,5221,5223,5225,5227,5229,5231,5233,5235,5237,5239,5241,5243,5245,5247,5249,5251,5253,5255,5257,5259,5261,5263,5265,5267,5269,5271,5273,5275,5277,5279,5281,5283,5285,5287,5289,5291,5293,5295,5297,5299,5301,5303,5305,5307,5309,5311,5313,5315,5317,5319,5321,5323,5325,5327,5329,5331,5333,5335,5337,5339,5341,5343,5345,5347,5349,5351,5353,5355,5357,5359,5361,5363,5365,5367,5369,5371,5373,5375,5377,5379,5381,5383,5385,5387,5389,5391,5393,5395,5397,5399,5401,5403,5405,5407,5409,5411,5413,5415,5417,5419,5421,5423,5425,5427,5429,5431,5433,5435,5437,5439,5441,5443,5445,5447,5449,5451,5453,5455,5457,5459,5461,5463,5465,5467,5469,5471,5473,5475,5477,5479,5481,5483,5485,5487,5489,5491,5493,5495,5497,5499,5501,5503,5505,5507,5509,5511,5513,5515,5517,5519,5521,5523,5525,5527,5529,5531,5533,5535,5537,5539,5541,5543,5545,5547,5549,5551,5553,5555,5557,5559,5561,5563,5565,5567,5569,5571,5573,5575,5577,5579,5581,5583,5585,5587,5589,5591,5593,5595,5597,5599,5601,5603,5605,5607,5609,5611,5613,5615,5617,5619,5621,5623,5625,5627,5629,5631,5633,5635,5637,5639,5641,5643,5645,5647,5649,5651,5653,5655,5657,5659,5661,5663,5665,5667,5669,5671,5673,5675,5677,5679,5681,5683,5685,5687,5689,5691,5693,5695,5697,5699,5701,5703,5705,5707,5709,5711,5713,5715,5717,5719,5721,5723,5725,5727,5729,5731,5733,5735,5737,5739,5741,5743,5745,5747,5749,5751,5753,5755,5757,5759,5761,5763,5765,5767,5769,5771,5773,5775,5777,5779,5781,5783,5785,5787,5789,5791,5793,5795,5797,5799,5801,5803,5805,5807,5809,5811,5813,5815,5817,5819,5821,5823,5825,5827,5829,5831,5833,5835,5837,5839,5841,5843,5845,5847,5849,5851,5854,5856,5858,5860,5862,5864,5866,5868,5870,5872,5874,5876,5878,5880,5882,5884,5886,5888,5890,5892,5894,5896,5898,5900,5902,5904,5906,5908,5910,5912,5914,5916,5918,5920,5922,5924,5926,5928,5930,5932,5934,5936,5938,5940,5942,5944,5946,5948,5950,5952,5954,5956,5958,5960,5962,5964,5966,5968,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6069,6071,6073,6075,6077,6079,6081,6083,6085,6087,6089,6091,6093,6095,6097,6099,6101,6103,6105,6107,6109,6111,6113,6115,6117,6119,6121,6123,6125,6127,6129,6131,6133,6135,6137,6139,6141,6143,6145,6147,6149,6151,6153,6155,6157,6159,6161,6163,6165,6167,6169,6171,6173,6175,6177,6179,6181,6183,6185,6187,6189,6191,6193,6195,6197,6199,6201,6203,6205,6207,6209,6211,6213,6215,6217,6219,6221,6223,6225,6227,6229,6231,6233,6235,6237,6239,6241,6243,6245,6247,6249,6251,6253,6255,6257,6259,6261,6263,6265,6267,6269,6271,6273,6275,6277,6279,6281,6283,6285,6287,6289,6291,6293,6295,6297,6299,6301,6303,6305,6307,6309,6311,6313,6315,6317,6319,6321,6323,6325,6327,6329,6331,6333,6335,6337,6339,6341,6343,6345,6347,6349,6351,6353,6355,6357,6359,6361,6363,6365,6367,6369,6371,6373,6375,6377,6379,6381,6383,6385,6387,6389,6391,6393,6395,6397,6399,6401,6403,6405,6407,6409,6411,6413,6415,6417,6419,6421,6423,6425,6427,6429,6431,6433,6435,6437,6439,6441,6443,6445,6447,6449,6451,6453,6455,6457,6459,6461,6463,6465,6467,6469,6471,6473,6475,6477,6479,6481,6483,6485,6487,6489,6491,6493,6495,6497,6499,6501,6503,6505,6507,6509,6511,6513,6515,6517,6519,6521,6523,6525,6527,6529,6531,6533,6535,6537,6539,6541,6543,6545,6547,6549,6551,6553,6555,6557,6559,6561,6563,6565,6567,6569,6571,6573,6575,6577,6579,6581,6583,6585,6587,6589,6591,6593,6595,6597,6599,6601,6603,6605,6607,6609,6611,6613,6615,6617,6619,6621,6623,6625,6627,6629,6631,6633,6635,6637,6639,6641,6643,6645,6647,6649,6651,6653,6655,6657,6659,6661,6663,6665,6667,6669,6671,6673,6675,6677,6679,6681,6683,6685,6687,6689,6691,6693,6695,6697,6699,6701,6703,6705,6707,6709,6711,6713,6715,6717,6719,6721,6723,6725,6727,6729,6731,6733,6735,6737,6739,6741,6743,6745,6747,6749,6751,6753,6755,6757,6759,6761,6763,6765,6767,6769,6771,6773,6775,6777,6779,6781,6783,6785,6787,6789,6791,6793,6795,6797,6799,6801,6803,6805,6807,6809,6811,6813,6815,6817,6819,6821,6823,6825,6827,6829,6831,6833,6835,6837,6839,6841,6843,6845,6847,6849,6851,6853,6855,6857,6859,6861,6863,6865,6867,6869,6871,6873,6875,6877,6879,6881,6883,6885,6887,6889,6891,6893,6895,6897,6899,6901,6903,6905,6907,6909,6911,6913,6915,6917,6919,6921,6923,6925,6927,6929,6931,6933,6935,6937,6939,6941,6943,6945,6947,6949,6951,6953,6955,6957,6959,6961,6963,6965,6967,6969,6971,6973,6975,6977,6979,6981,6983,6985,6987,6989,6991,6993,6995,6997,6999,7001,7003,7005,7007,7009,7011,7013,7015,7017,7019,7021,7023,7025,7027,7029,7031,7033,7035,7037,7039,7041,7043,7045,7047,7049,7051,7053,7055,7057,7059,7061,7063,7065,7067,7069,7071,7073,7075,7077,7079,7081,7083,7085,7087,7089,7091,7093,7095,7097,7099,7101,7103,7105,7107,7109,7111,7113,7115,7117,7119,7121,7123,7125,7127,7129,7131,7133,7135,7137,7139,7141,7143,7145,7147,7149,7151,7153,7155,7157,7159,7161,7163,7165,7167,7169,7171,7173,7175,7177,7179,7181,7183,7185,7187,7189,7191,7193,7195,7197,7199,7201,7203,7205,7207,7209,7211,7213,7215,7217,7219,7221,7223,7225,7227,7229,7231,7233,7235,7237,7239,7241,7243,7245,7247,7249,7251,7253,7255,7257,7259,7261,7263,7265,7267,7269,7271,7273,7275,7277,7279,7281,7283,7285,7287,7289,7291,7293,7295,7297,7299,7301,7303,7305,7307,7309,7311,7313,7315,7317,7319,7321,7323,7325,7327,7329,7331,7333,7335,7337,7339,7341,7343,7345,7347,7349,7351,7353,7355,7357,7359,7361,7363,7365,7367,7369,7371,7373,7375,7377,7379,7381,7383,7385,7387,7389,7391,7393,7395,7397,7399,7401,7403,7405,7407,7409,7411,7413,7415,7417,7419,7421,7423,7425,7427,7429,7431,7433,7435,7437,7439,7441,7443,7445,7447,7449,7451,7453,7455,7457,7459,7461,7463,7465,7467,7469,7471,7473,7475,7477,7479,7481,7483,7485,7487,7489,7491,7493,7495,7497,7499,7501,7503,7505,7507,7509,7511,7513,7515,7517,7519,7521,7523,7525,7527,7529,7531,7533,7535,7537,7539,7541,7543,7545,7547],{"categories":207},[160],{"categories":209},[210],"Developer Productivity",{"categories":212},[160],{"categories":214},[215],"Business & SaaS",{"categories":217},[160],{"categories":219},[220],"AI Automation",{"categories":222},[223],"Product Strategy",{"categories":225},[220],{"categories":227},[160],{"categories":229},[210],{"categories":231},[220],{"categories":233},[234],"Software Engineering",{"categories":236},[237],"Data Science & Visualization",{"categories":239},[160],{"categories":241},[215],{"categories":243},[],{"categories":245},[160],{"categories":247},[248],"Inference & Serving",{"categories":250},[160],{"categories":252},[160],{"categories":254},[220],{"categories":256},[],{"categories":258},[259],"AI News & Trends",{"categories":261},[237],{"categories":263},[220],{"categories":265},[160],{"categories":267},[160],{"categories":269},[160],{"categories":271},[215],{"categories":273},[210],{"categories":275},[160],{"categories":277},[220],{"categories":279},[259],{"categories":281},[160],{"categories":283},[220],{"categories":285},[220],{"categories":287},[160],{"categories":289},[160],{"categories":291},[220],{"categories":293},[160],{"categories":295},[160],{"categories":297},[160],{"categories":299},[215],{"categories":301},[220],{"categories":303},[259],{"categories":305},[160],{"categories":307},[160],{"categories":309},[160],{"categories":311},[],{"categories":313},[314],"Design & Frontend",{"categories":316},[160],{"categories":318},[237],{"categories":320},[259],{"categories":322},[160],{"categories":324},[160],{"categories":326},[160],{"categories":328},[],{"categories":330},[160],{"categories":332},[160],{"categories":334},[220],{"categories":336},[234],{"categories":338},[160],{"categories":340},[220],{"categories":342},[160],{"categories":344},[345],"Marketing & Growth",{"categories":347},[314],{"categories":349},[160],{"categories":351},[220],{"categories":353},[160],{"categories":355},[160],{"categories":357},[234],{"categories":359},[160],{"categories":361},[],{"categories":363},[],{"categories":365},[314],{"categories":367},[160],{"categories":369},[220],{"categories":371},[210],{"categories":373},[234],{"categories":375},[220],{"categories":377},[314],{"categories":379},[223],{"categories":381},[160],{"categories":383},[234],{"categories":385},[386],"DevOps & Cloud",{"categories":388},[220],{"categories":390},[223],{"categories":392},[259],{"categories":394},[160],{"categories":396},[],{"categories":398},[160],{"categories":400},[160],{"categories":402},[160],{"categories":404},[],{"categories":406},[220],{"categories":408},[234],{"categories":410},[],{"categories":412},[234],{"categories":414},[220],{"categories":416},[160],{"categories":418},[314],{"categories":420},[421],"Governance & Standards",{"categories":423},[215],{"categories":425},[],{"categories":427},[160],{"categories":429},[],{"categories":431},[160],{"categories":433},[160],{"categories":435},[220],{"categories":437},[220],{"categories":439},[160],{"categories":441},[160],{"categories":443},[220],{"categories":445},[160],{"categories":447},[160],{"categories":449},[160],{"categories":451},[],{"categories":453},[234],{"categories":455},[],{"categories":457},[],{"categories":459},[160],{"categories":461},[234],{"categories":463},[],{"categories":465},[234],{"categories":467},[160],{"categories":469},[220],{"categories":471},[160],{"categories":473},[345],{"categories":475},[160],{"categories":477},[160],{"categories":479},[160],{"categories":481},[314],{"categories":483},[314],{"categories":485},[160],{"categories":487},[234],{"categories":489},[220],{"categories":491},[492],"GovTech & Public-Sector Adoption",{"categories":494},[234],{"categories":496},[160],{"categories":498},[160],{"categories":500},[160],{"categories":502},[220],{"categories":504},[220],{"categories":506},[237],{"categories":508},[160],{"categories":510},[259],{"categories":512},[220],{"categories":514},[515],"Legal AI Tools",{"categories":517},[160],{"categories":519},[220],{"categories":521},[160],{"categories":523},[345],{"categories":525},[220],{"categories":527},[223],{"categories":529},[160],{"categories":531},[234],{"categories":533},[492],{"categories":535},[],{"categories":537},[220],{"categories":539},[],{"categories":541},[215],{"categories":543},[220],{"categories":545},[220],{"categories":547},[548],"RAG & Retrieval",{"categories":550},[215],{"categories":552},[160],{"categories":554},[234],{"categories":556},[234],{"categories":558},[386],{"categories":560},[314],{"categories":562},[220],{"categories":564},[160],{"categories":566},[160],{"categories":568},[],{"categories":570},[220],{"categories":572},[573],"Agents & Orchestration",{"categories":575},[234],{"categories":577},[160],{"categories":579},[],{"categories":581},[220],{"categories":583},[215],{"categories":585},[],{"categories":587},[160],{"categories":589},[],{"categories":591},[160],{"categories":593},[210],{"categories":595},[234],{"categories":597},[215],{"categories":599},[160],{"categories":601},[160],{"categories":603},[160],{"categories":605},[220],{"categories":607},[160],{"categories":609},[160],{"categories":611},[259],{"categories":613},[160],{"categories":615},[],{"categories":617},[160],{"categories":619},[160],{"categories":621},[],{"categories":623},[160],{"categories":625},[234],{"categories":627},[160],{"categories":629},[220],{"categories":631},[237],{"categories":633},[],{"categories":635},[160],{"categories":637},[160],{"categories":639},[314],{"categories":641},[642],"Models & Frontier Labs",{"categories":644},[],{"categories":646},[314],{"categories":648},[649],"Regulation & Governance of AI",{"categories":651},[223],{"categories":653},[220],{"categories":655},[],{"categories":657},[160],{"categories":659},[160],{"categories":661},[220],{"categories":663},[220],{"categories":665},[259],{"categories":667},[160],{"categories":669},[215],{"categories":671},[160],{"categories":673},[220],{"categories":675},[],{"categories":677},[234],{"categories":679},[220],{"categories":681},[160],{"categories":683},[223],{"categories":685},[160],{"categories":687},[688],"AI Policy & Regulation",{"categories":690},[],{"categories":692},[160],{"categories":694},[220],{"categories":696},[220],{"categories":698},[223],{"categories":700},[220],{"categories":702},[160],{"categories":704},[160],{"categories":706},[160],{"categories":708},[220],{"categories":710},[],{"categories":712},[237],{"categories":714},[715],"Evals & Reliability",{"categories":717},[160],{"categories":719},[160],{"categories":721},[],{"categories":723},[237],{"categories":725},[210],{"categories":727},[492],{"categories":729},[688],{"categories":731},[160],{"categories":733},[215],{"categories":735},[160],{"categories":737},[220],{"categories":739},[160],{"categories":741},[220],{"categories":743},[573],{"categories":745},[160],{"categories":747},[234],{"categories":749},[160],{"categories":751},[160],{"categories":753},[],{"categories":755},[314],{"categories":757},[],{"categories":759},[160],{"categories":761},[492],{"categories":763},[160],{"categories":765},[160],{"categories":767},[160],{"categories":769},[],{"categories":771},[160],{"categories":773},[314],{"categories":775},[234],{"categories":777},[],{"categories":779},[160],{"categories":781},[],{"categories":783},[220],{"categories":785},[160],{"categories":787},[314],{"categories":789},[],{"categories":791},[160],{"categories":793},[160],{"categories":795},[237],{"categories":797},[220],{"categories":799},[160],{"categories":801},[215],{"categories":803},[220],{"categories":805},[160],{"categories":807},[160],{"categories":809},[234],{"categories":811},[314],{"categories":813},[160],{"categories":815},[220],{"categories":817},[],{"categories":819},[234],{"categories":821},[220],{"categories":823},[237],{"categories":825},[],{"categories":827},[160],{"categories":829},[259],{"categories":831},[160],{"categories":833},[],{"categories":835},[160],{"categories":837},[160],{"categories":839},[160],{"categories":841},[215,345],{"categories":843},[],{"categories":845},[234],{"categories":847},[160],{"categories":849},[160],{"categories":851},[220],{"categories":853},[160],{"categories":855},[160],{"categories":857},[],{"categories":859},[],{"categories":861},[160],{"categories":863},[314],{"categories":865},[160],{"categories":867},[],{"categories":869},[160],{"categories":871},[386],{"categories":873},[],{"categories":875},[220],{"categories":877},[259],{"categories":879},[160],{"categories":881},[215],{"categories":883},[160],{"categories":885},[234],{"categories":887},[314],{"categories":889},[],{"categories":891},[259],{"categories":893},[160],{"categories":895},[248],{"categories":897},[160],{"categories":899},[160],{"categories":901},[220],{"categories":903},[259],{"categories":905},[642],{"categories":907},[160],{"categories":909},[345],{"categories":911},[],{"categories":913},[220],{"categories":915},[215],{"categories":917},[234],{"categories":919},[160],{"categories":921},[220],{"categories":923},[],{"categories":925},[160,386],{"categories":927},[160],{"categories":929},[160],{"categories":931},[160],{"categories":933},[220],{"categories":935},[160,234],{"categories":937},[237],{"categories":939},[160],{"categories":941},[160],{"categories":943},[160],{"categories":945},[234],{"categories":947},[160],{"categories":949},[220],{"categories":951},[220],{"categories":953},[688],{"categories":955},[345],{"categories":957},[160],{"categories":959},[220],{"categories":961},[160],{"categories":963},[160],{"categories":965},[220],{"categories":967},[],{"categories":969},[220],{"categories":971},[160],{"categories":973},[160],{"categories":975},[220],{"categories":977},[160],{"categories":979},[160,215],{"categories":981},[160],{"categories":983},[215],{"categories":985},[],{"categories":987},[314],{"categories":989},[314],{"categories":991},[160],{"categories":993},[],{"categories":995},[],{"categories":997},[160],{"categories":999},[259],{"categories":1001},[],{"categories":1003},[210],{"categories":1005},[160],{"categories":1007},[234],{"categories":1009},[220],{"categories":1011},[160],{"categories":1013},[1014],"Generative UI & Design-to-Code",{"categories":1016},[160],{"categories":1018},[160],{"categories":1020},[314],{"categories":1022},[160],{"categories":1024},[1025],"Algorithmic Accountability",{"categories":1027},[220],{"categories":1029},[234],{"categories":1031},[259],{"categories":1033},[314],{"categories":1035},[160],{"categories":1037},[],{"categories":1039},[223],{"categories":1041},[160],{"categories":1043},[160],{"categories":1045},[160],{"categories":1047},[160],{"categories":1049},[160],{"categories":1051},[220],{"categories":1053},[1054],"MLOps & Infrastructure",{"categories":1056},[160],{"categories":1058},[160],{"categories":1060},[160],{"categories":1062},[160],{"categories":1064},[160],{"categories":1066},[234],{"categories":1068},[259],{"categories":1070},[160],{"categories":1072},[160],{"categories":1074},[223],{"categories":1076},[210],{"categories":1078},[160],{"categories":1080},[220],{"categories":1082},[386],{"categories":1084},[160],{"categories":1086},[215],{"categories":1088},[160],{"categories":1090},[314],{"categories":1092},[160],{"categories":1094},[223],{"categories":1096},[160],{"categories":1098},[220],{"categories":1100},[],{"categories":1102},[],{"categories":1104},[160],{"categories":1106},[248],{"categories":1108},[314],{"categories":1110},[259],{"categories":1112},[237],{"categories":1114},[],{"categories":1116},[160],{"categories":1118},[160],{"categories":1120},[215],{"categories":1122},[220],{"categories":1124},[160],{"categories":1126},[160],{"categories":1128},[160],{"categories":1130},[160],{"categories":1132},[160],{"categories":1134},[259],{"categories":1136},[248],{"categories":1138},[160],{"categories":1140},[314],{"categories":1142},[160],{"categories":1144},[],{"categories":1146},[220],{"categories":1148},[234],{"categories":1150},[],{"categories":1152},[160],{"categories":1154},[160],{"categories":1156},[220],{"categories":1158},[234],{"categories":1160},[160],{"categories":1162},[237],{"categories":1164},[314],{"categories":1166},[],{"categories":1168},[160],{"categories":1170},[],{"categories":1172},[160],{"categories":1174},[],{"categories":1176},[160],{"categories":1178},[160],{"categories":1180},[223],{"categories":1182},[215],{"categories":1184},[220],{"categories":1186},[220],{"categories":1188},[],{"categories":1190},[160],{"categories":1192},[210],{"categories":1194},[160],{"categories":1196},[160],{"categories":1198},[215],{"categories":1200},[259],{"categories":1202},[210],{"categories":1204},[],{"categories":1206},[160],{"categories":1208},[],{"categories":1210},[160],{"categories":1212},[],{"categories":1214},[160],{"categories":1216},[259],{"categories":1218},[259],{"categories":1220},[],{"categories":1222},[573],{"categories":1224},[160],{"categories":1226},[314],{"categories":1228},[234],{"categories":1230},[],{"categories":1232},[515],{"categories":1234},[220],{"categories":1236},[215],{"categories":1238},[],{"categories":1240},[],{"categories":1242},[210],{"categories":1244},[237],{"categories":1246},[],{"categories":1248},[345],{"categories":1250},[220],{"categories":1252},[215],{"categories":1254},[220],{"categories":1256},[160],{"categories":1258},[215],{"categories":1260},[160],{"categories":1262},[234],{"categories":1264},[],{"categories":1266},[248],{"categories":1268},[223],{"categories":1270},[160],{"categories":1272},[314],{"categories":1274},[234],{"categories":1276},[215],{"categories":1278},[160],{"categories":1280},[234],{"categories":1282},[160],{"categories":1284},[220],{"categories":1286},[215],{"categories":1288},[160],{"categories":1290},[160],{"categories":1292},[160],{"categories":1294},[160],{"categories":1296},[160],{"categories":1298},[160],{"categories":1300},[],{"categories":1302},[],{"categories":1304},[234],{"categories":1306},[237],{"categories":1308},[223],{"categories":1310},[160],{"categories":1312},[220],{"categories":1314},[234],{"categories":1316},[234],{"categories":1318},[160],{"categories":1320},[],{"categories":1322},[160],{"categories":1324},[259],{"categories":1326},[223],{"categories":1328},[223],{"categories":1330},[234],{"categories":1332},[160],{"categories":1334},[715],{"categories":1336},[386],{"categories":1338},[],{"categories":1340},[220],{"categories":1342},[160],{"categories":1344},[210],{"categories":1346},[],{"categories":1348},[210],{"categories":1350},[],{"categories":1352},[160],{"categories":1354},[160],{"categories":1356},[160],{"categories":1358},[314],{"categories":1360},[345],{"categories":1362},[223],{"categories":1364},[160],{"categories":1366},[234],{"categories":1368},[160],{"categories":1370},[220],{"categories":1372},[],{"categories":1374},[234],{"categories":1376},[160],{"categories":1378},[210],{"categories":1380},[],{"categories":1382},[215],{"categories":1384},[160],{"categories":1386},[160],{"categories":1388},[259],{"categories":1390},[160,386],{"categories":1392},[160],{"categories":1394},[1395],"Design Systems for AI",{"categories":1397},[160],{"categories":1399},[160],{"categories":1401},[259],{"categories":1403},[160],{"categories":1405},[160],{"categories":1407},[160],{"categories":1409},[215],{"categories":1411},[160],{"categories":1413},[160],{"categories":1415},[160],{"categories":1417},[],{"categories":1419},[160],{"categories":1421},[160],{"categories":1423},[215],{"categories":1425},[160],{"categories":1427},[],{"categories":1429},[220],{"categories":1431},[220],{"categories":1433},[234],{"categories":1435},[259],{"categories":1437},[234],{"categories":1439},[160],{"categories":1441},[314],{"categories":1443},[259],{"categories":1445},[237],{"categories":1447},[160],{"categories":1449},[160],{"categories":1451},[160],{"categories":1453},[160],{"categories":1455},[220],{"categories":1457},[210],{"categories":1459},[688],{"categories":1461},[160],{"categories":1463},[160],{"categories":1465},[220],{"categories":1467},[160],{"categories":1469},[234],{"categories":1471},[160],{"categories":1473},[234],{"categories":1475},[],{"categories":1477},[314],{"categories":1479},[],{"categories":1481},[160],{"categories":1483},[220],{"categories":1485},[223],{"categories":1487},[],{"categories":1489},[215],{"categories":1491},[160],{"categories":1493},[],{"categories":1495},[314],{"categories":1497},[234],{"categories":1499},[220],{"categories":1501},[234],{"categories":1503},[314],{"categories":1505},[160],{"categories":1507},[234],{"categories":1509},[160],{"categories":1511},[314],{"categories":1513},[],{"categories":1515},[],{"categories":1517},[259],{"categories":1519},[220],{"categories":1521},[220],{"categories":1523},[160],{"categories":1525},[160],{"categories":1527},[160],{"categories":1529},[160],{"categories":1531},[160],{"categories":1533},[215],{"categories":1535},[160],{"categories":1537},[160],{"categories":1539},[],{"categories":1541},[234],{"categories":1543},[234],{"categories":1545},[160],{"categories":1547},[234],{"categories":1549},[215],{"categories":1551},[],{"categories":1553},[160],{"categories":1555},[160],{"categories":1557},[314],{"categories":1559},[160],{"categories":1561},[160],{"categories":1563},[160],{"categories":1565},[220],{"categories":1567},[210],{"categories":1569},[215],{"categories":1571},[160],{"categories":1573},[220],{"categories":1575},[259],{"categories":1577},[220],{"categories":1579},[248],{"categories":1581},[345],{"categories":1583},[160],{"categories":1585},[220],{"categories":1587},[160],{"categories":1589},[160],{"categories":1591},[160],{"categories":1593},[],{"categories":1595},[314],{"categories":1597},[],{"categories":1599},[160],{"categories":1601},[160],{"categories":1603},[],{"categories":1605},[160],{"categories":1607},[234],{"categories":1609},[215],{"categories":1611},[1612],"Visual & Generative Media",{"categories":1614},[220],{"categories":1616},[],{"categories":1618},[160],{"categories":1620},[160],{"categories":1622},[234],{"categories":1624},[160],{"categories":1626},[386],{"categories":1628},[160],{"categories":1630},[237],{"categories":1632},[688],{"categories":1634},[234],{"categories":1636},[345],{"categories":1638},[160],{"categories":1640},[223],{"categories":1642},[314],{"categories":1644},[160],{"categories":1646},[160],{"categories":1648},[234],{"categories":1650},[220],{"categories":1652},[160],{"categories":1654},[],{"categories":1656},[],{"categories":1658},[220],{"categories":1660},[234],{"categories":1662},[210],{"categories":1664},[220],{"categories":1666},[642],{"categories":1668},[160],{"categories":1670},[223],{"categories":1672},[160],{"categories":1674},[215],{"categories":1676},[],{"categories":1678},[160],{"categories":1680},[223],{"categories":1682},[160],{"categories":1684},[160],{"categories":1686},[160],{"categories":1688},[223],{"categories":1690},[160],{"categories":1692},[160],{"categories":1694},[345],{"categories":1696},[160],{"categories":1698},[573],{"categories":1700},[220],{"categories":1702},[160],{"categories":1704},[220],{"categories":1706},[160],{"categories":1708},[160],{"categories":1710},[220],{"categories":1712},[160],{"categories":1714},[160],{"categories":1716},[220],{"categories":1718},[160],{"categories":1720},[314],{"categories":1722},[220],{"categories":1724},[],{"categories":1726},[220],{"categories":1728},[160],{"categories":1730},[],{"categories":1732},[386],{"categories":1734},[234],{"categories":1736},[],{"categories":1738},[642],{"categories":1740},[160],{"categories":1742},[220],{"categories":1744},[220],{"categories":1746},[160],{"categories":1748},[314,160],{"categories":1750},[210],{"categories":1752},[160],{"categories":1754},[220],{"categories":1756},[314],{"categories":1758},[],{"categories":1760},[160],{"categories":1762},[210],{"categories":1764},[160],{"categories":1766},[1767],"Medical Imaging & Radiology",{"categories":1769},[160],{"categories":1771},[160],{"categories":1773},[160],{"categories":1775},[314],{"categories":1777},[220],{"categories":1779},[234],{"categories":1781},[],{"categories":1783},[160],{"categories":1785},[160],{"categories":1787},[160],{"categories":1789},[],{"categories":1791},[],{"categories":1793},[160],{"categories":1795},[160],{"categories":1797},[573],{"categories":1799},[160],{"categories":1801},[210],{"categories":1803},[160],{"categories":1805},[160],{"categories":1807},[],{"categories":1809},[220],{"categories":1811},[160],{"categories":1813},[223],{"categories":1815},[234],{"categories":1817},[160],{"categories":1819},[220],{"categories":1821},[573],{"categories":1823},[160],{"categories":1825},[220],{"categories":1827},[160],{"categories":1829},[160],{"categories":1831},[160],{"categories":1833},[160],{"categories":1835},[314],{"categories":1837},[220],{"categories":1839},[386],{"categories":1841},[314],{"categories":1843},[215],{"categories":1845},[220],{"categories":1847},[259],{"categories":1849},[160],{"categories":1851},[160],{"categories":1853},[223],{"categories":1855},[160],{"categories":1857},[160],{"categories":1859},[160],{"categories":1861},[160],{"categories":1863},[160],{"categories":1865},[220],{"categories":1867},[160],{"categories":1869},[234],{"categories":1871},[234],{"categories":1873},[160],{"categories":1875},[223],{"categories":1877},[],{"categories":1879},[259],{"categories":1881},[],{"categories":1883},[223],{"categories":1885},[220],{"categories":1887},[160],{"categories":1889},[220],{"categories":1891},[1395],{"categories":1893},[160],{"categories":1895},[1395],{"categories":1897},[314],{"categories":1899},[160],{"categories":1901},[160],{"categories":1903},[160],{"categories":1905},[220],{"categories":1907},[234],{"categories":1909},[314],{"categories":1911},[220],{"categories":1913},[259],{"categories":1915},[],{"categories":1917},[160],{"categories":1919},[],{"categories":1921},[160],{"categories":1923},[160],{"categories":1925},[160],{"categories":1927},[160],{"categories":1929},[160],{"categories":1931},[220],{"categories":1933},[1934],"Contract Review & E-Discovery",{"categories":1936},[160],{"categories":1938},[314],{"categories":1940},[160],{"categories":1942},[210],{"categories":1944},[160],{"categories":1946},[259],{"categories":1948},[160],{"categories":1950},[160],{"categories":1952},[345],{"categories":1954},[234],{"categories":1956},[220],{"categories":1958},[160],{"categories":1960},[160],{"categories":1962},[160],{"categories":1964},[220],{"categories":1966},[220],{"categories":1968},[1025],{"categories":1970},[160],{"categories":1972},[160],{"categories":1974},[220],{"categories":1976},[220],{"categories":1978},[160],{"categories":1980},[160],{"categories":1982},[160],{"categories":1984},[220],{"categories":1986},[160],{"categories":1988},[234],{"categories":1990},[160],{"categories":1992},[573],{"categories":1994},[548],{"categories":1996},[160],{"categories":1998},[220],{"categories":2000},[160],{"categories":2002},[2003],"Law-Firm Practice & Adoption",{"categories":2005},[160],{"categories":2007},[220],{"categories":2009},[314],{"categories":2011},[160],{"categories":2013},[160],{"categories":2015},[160],{"categories":2017},[],{"categories":2019},[234],{"categories":2021},[],{"categories":2023},[234],{"categories":2025},[160],{"categories":2027},[],{"categories":2029},[220],{"categories":2031},[210],{"categories":2033},[386],{"categories":2035},[160],{"categories":2037},[],{"categories":2039},[160],{"categories":2041},[210],{"categories":2043},[215],{"categories":2045},[160],{"categories":2047},[345],{"categories":2049},[160],{"categories":2051},[],{"categories":2053},[215],{"categories":2055},[220],{"categories":2057},[215],{"categories":2059},[],{"categories":2061},[160],{"categories":2063},[223],{"categories":2065},[160],{"categories":2067},[234],{"categories":2069},[],{"categories":2071},[],{"categories":2073},[],{"categories":2075},[],{"categories":2077},[160],{"categories":2079},[223],{"categories":2081},[220],{"categories":2083},[386],{"categories":2085},[160],{"categories":2087},[210],{"categories":2089},[234],{"categories":2091},[160],{"categories":2093},[160],{"categories":2095},[234],{"categories":2097},[223],{"categories":2099},[160],{"categories":2101},[160],{"categories":2103},[160],{"categories":2105},[1054],{"categories":2107},[160],{"categories":2109},[234],{"categories":2111},[160],{"categories":2113},[345],{"categories":2115},[234],{"categories":2117},[215],{"categories":2119},[160],{"categories":2121},[160],{"categories":2123},[160],{"categories":2125},[314],{"categories":2127},[160],{"categories":2129},[160],{"categories":2131},[160],{"categories":2133},[160],{"categories":2135},[215],{"categories":2137},[220],{"categories":2139},[160,210],{"categories":2141},[573],{"categories":2143},[160],{"categories":2145},[160],{"categories":2147},[234],{"categories":2149},[234],{"categories":2151},[314],{"categories":2153},[220],{"categories":2155},[220],{"categories":2157},[234],{"categories":2159},[160],{"categories":2161},[220],{"categories":2163},[160],{"categories":2165},[160],{"categories":2167},[],{"categories":2169},[],{"categories":2171},[160],{"categories":2173},[237],{"categories":2175},[160],{"categories":2177},[314],{"categories":2179},[220],{"categories":2181},[],{"categories":2183},[160],{"categories":2185},[160],{"categories":2187},[234],{"categories":2189},[237],{"categories":2191},[259],{"categories":2193},[314],{"categories":2195},[160],{"categories":2197},[220],{"categories":2199},[160],{"categories":2201},[234],{"categories":2203},[],{"categories":2205},[220],{"categories":2207},[160],{"categories":2209},[160],{"categories":2211},[160],{"categories":2213},[160],{"categories":2215},[160],{"categories":2217},[],{"categories":2219},[220],{"categories":2221},[160],{"categories":2223},[160],{"categories":2225},[160],{"categories":2227},[],{"categories":2229},[220],{"categories":2231},[220],{"categories":2233},[160],{"categories":2235},[160],{"categories":2237},[215],{"categories":2239},[160],{"categories":2241},[160],{"categories":2243},[],{"categories":2245},[210],{"categories":2247},[160],{"categories":2249},[160],{"categories":2251},[160],{"categories":2253},[314],{"categories":2255},[160],{"categories":2257},[234],{"categories":2259},[160],{"categories":2261},[210],{"categories":2263},[160],{"categories":2265},[234],{"categories":2267},[345],{"categories":2269},[234],{"categories":2271},[220],{"categories":2273},[220],{"categories":2275},[160],{"categories":2277},[160],{"categories":2279},[160,314],{"categories":2281},[160],{"categories":2283},[220],{"categories":2285},[259],{"categories":2287},[160],{"categories":2289},[259],{"categories":2291},[220],{"categories":2293},[314],{"categories":2295},[160],{"categories":2297},[],{"categories":2299},[234],{"categories":2301},[386],{"categories":2303},[314],{"categories":2305},[234],{"categories":2307},[160],{"categories":2309},[223],{"categories":2311},[160],{"categories":2313},[160],{"categories":2315},[220],{"categories":2317},[],{"categories":2319},[],{"categories":2321},[160],{"categories":2323},[],{"categories":2325},[],{"categories":2327},[223],{"categories":2329},[234],{"categories":2331},[160],{"categories":2333},[160],{"categories":2335},[220],{"categories":2337},[220],{"categories":2339},[215],{"categories":2341},[220],{"categories":2343},[386],{"categories":2345},[160],{"categories":2347},[160],{"categories":2349},[160],{"categories":2351},[248],{"categories":2353},[160],{"categories":2355},[160],{"categories":2357},[160],{"categories":2359},[160],{"categories":2361},[234],{"categories":2363},[220],{"categories":2365},[160],{"categories":2367},[160],{"categories":2369},[160],{"categories":2371},[234],{"categories":2373},[515],{"categories":2375},[220],{"categories":2377},[1025],{"categories":2379},[],{"categories":2381},[220],{"categories":2383},[314],{"categories":2385},[2003],{"categories":2387},[234],{"categories":2389},[],{"categories":2391},[],{"categories":2393},[160],{"categories":2395},[220],{"categories":2397},[],{"categories":2399},[],{"categories":2401},[160],{"categories":2403},[345],{"categories":2405},[160],{"categories":2407},[345],{"categories":2409},[160],{"categories":2411},[220],{"categories":2413},[160],{"categories":2415},[237],{"categories":2417},[160],{"categories":2419},[234],{"categories":2421},[223],{"categories":2423},[],{"categories":2425},[160],{"categories":2427},[160],{"categories":2429},[160],{"categories":2431},[234],{"categories":2433},[160],{"categories":2435},[1934],{"categories":2437},[160],{"categories":2439},[314],{"categories":2441},[314],{"categories":2443},[160],{"categories":2445},[220],{"categories":2447},[210],{"categories":2449},[160],{"categories":2451},[160],{"categories":2453},[160],{"categories":2455},[160],{"categories":2457},[314],{"categories":2459},[314],{"categories":2461},[220],{"categories":2463},[220],{"categories":2465},[220],{"categories":2467},[160],{"categories":2469},[160],{"categories":2471},[160],{"categories":2473},[220],{"categories":2475},[],{"categories":2477},[160],{"categories":2479},[],{"categories":2481},[2482],"Interaction & Product Design",{"categories":2484},[160],{"categories":2486},[220],{"categories":2488},[234],{"categories":2490},[421],{"categories":2492},[259],{"categories":2494},[234],{"categories":2496},[160],{"categories":2498},[160],{"categories":2500},[160],{"categories":2502},[234],{"categories":2504},[160],{"categories":2506},[210],{"categories":2508},[220],{"categories":2510},[160],{"categories":2512},[],{"categories":2514},[220],{"categories":2516},[220],{"categories":2518},[220],{"categories":2520},[],{"categories":2522},[234],{"categories":2524},[160],{"categories":2526},[220],{"categories":2528},[210],{"categories":2530},[2482],{"categories":2532},[160],{"categories":2534},[210],{"categories":2536},[210],{"categories":2538},[160],{"categories":2540},[],{"categories":2542},[160],{"categories":2544},[220],{"categories":2546},[234],{"categories":2548},[],{"categories":2550},[220],{"categories":2552},[259],{"categories":2554},[160],{"categories":2556},[220],{"categories":2558},[160],{"categories":2560},[220],{"categories":2562},[220],{"categories":2564},[160],{"categories":2566},[160],{"categories":2568},[259],{"categories":2570},[237],{"categories":2572},[160],{"categories":2574},[223],{"categories":2576},[234],{"categories":2578},[2579],"Coding Agents & Dev Productivity",{"categories":2581},[259],{"categories":2583},[314],{"categories":2585},[160],{"categories":2587},[160],{"categories":2589},[],{"categories":2591},[160],{"categories":2593},[1025],{"categories":2595},[],{"categories":2597},[160],{"categories":2599},[160],{"categories":2601},[386],{"categories":2603},[160],{"categories":2605},[259],{"categories":2607},[],{"categories":2609},[],{"categories":2611},[160],{"categories":2613},[],{"categories":2615},[220],{"categories":2617},[160],{"categories":2619},[220],{"categories":2621},[],{"categories":2623},[234],{"categories":2625},[234],{"categories":2627},[160],{"categories":2629},[237],{"categories":2631},[],{"categories":2633},[160],{"categories":2635},[160],{"categories":2637},[160],{"categories":2639},[237],{"categories":2641},[234],{"categories":2643},[220],{"categories":2645},[],{"categories":2647},[],{"categories":2649},[160],{"categories":2651},[160],{"categories":2653},[160],{"categories":2655},[160],{"categories":2657},[220],{"categories":2659},[220],{"categories":2661},[492],{"categories":2663},[234],{"categories":2665},[223],{"categories":2667},[234],{"categories":2669},[220],{"categories":2671},[259],{"categories":2673},[259],{"categories":2675},[220],{"categories":2677},[220],{"categories":2679},[160],{"categories":2681},[210],{"categories":2683},[2482],{"categories":2685},[223],{"categories":2687},[160,386],{"categories":2689},[237],{"categories":2691},[],{"categories":2693},[314],{"categories":2695},[220],{"categories":2697},[234],{"categories":2699},[210],{"categories":2701},[160],{"categories":2703},[220],{"categories":2705},[2706],"The Designer's Role & Craft",{"categories":2708},[314],{"categories":2710},[],{"categories":2712},[220],{"categories":2714},[160],{"categories":2716},[220],{"categories":2718},[220],{"categories":2720},[160],{"categories":2722},[345],{"categories":2724},[160],{"categories":2726},[234],{"categories":2728},[220],{"categories":2730},[160],{"categories":2732},[314],{"categories":2734},[160],{"categories":2736},[],{"categories":2738},[220],{"categories":2740},[314],{"categories":2742},[223],{"categories":2744},[160],{"categories":2746},[220],{"categories":2748},[160],{"categories":2750},[160],{"categories":2752},[2753],"AI UX Patterns",{"categories":2755},[220],{"categories":2757},[220],{"categories":2759},[220],{"categories":2761},[160],{"categories":2763},[220],{"categories":2765},[345],{"categories":2767},[237],{"categories":2769},[160],{"categories":2771},[220],{"categories":2773},[160],{"categories":2775},[1395],{"categories":2777},[],{"categories":2779},[345],{"categories":2781},[220],{"categories":2783},[259],{"categories":2785},[234],{"categories":2787},[160],{"categories":2789},[220],{"categories":2791},[],{"categories":2793},[],{"categories":2795},[160],{"categories":2797},[160],{"categories":2799},[220],{"categories":2801},[160],{"categories":2803},[220],{"categories":2805},[492],{"categories":2807},[314],{"categories":2809},[160],{"categories":2811},[259],{"categories":2813},[234],{"categories":2815},[160],{"categories":2817},[220],{"categories":2819},[220],{"categories":2821},[],{"categories":2823},[160],{"categories":2825},[],{"categories":2827},[160],{"categories":2829},[],{"categories":2831},[160],{"categories":2833},[160],{"categories":2835},[160],{"categories":2837},[220],{"categories":2839},[234],{"categories":2841},[],{"categories":2843},[],{"categories":2845},[237],{"categories":2847},[248],{"categories":2849},[160],{"categories":2851},[160],{"categories":2853},[160],{"categories":2855},[237],{"categories":2857},[237],{"categories":2859},[160],{"categories":2861},[160],{"categories":2863},[259],{"categories":2865},[160],{"categories":2867},[160],{"categories":2869},[160],{"categories":2871},[220],{"categories":2873},[160],{"categories":2875},[220],{"categories":2877},[160],{"categories":2879},[160],{"categories":2881},[160],{"categories":2883},[220],{"categories":2885},[],{"categories":2887},[160],{"categories":2889},[],{"categories":2891},[160],{"categories":2893},[160],{"categories":2895},[386],{"categories":2897},[160],{"categories":2899},[],{"categories":2901},[],{"categories":2903},[314],{"categories":2905},[1054],{"categories":2907},[220],{"categories":2909},[210],{"categories":2911},[2706],{"categories":2913},[],{"categories":2915},[],{"categories":2917},[160],{"categories":2919},[],{"categories":2921},[],{"categories":2923},[234],{"categories":2925},[259],{"categories":2927},[345],{"categories":2929},[220],{"categories":2931},[215],{"categories":2933},[160],{"categories":2935},[160],{"categories":2937},[215],{"categories":2939},[],{"categories":2941},[314],{"categories":2943},[223],{"categories":2945},[160],{"categories":2947},[160],{"categories":2949},[220],{"categories":2951},[215],{"categories":2953},[160],{"categories":2955},[160],{"categories":2957},[210],{"categories":2959},[160],{"categories":2961},[160],{"categories":2963},[],{"categories":2965},[210],{"categories":2967},[160],{"categories":2969},[345],{"categories":2971},[220],{"categories":2973},[259],{"categories":2975},[160],{"categories":2977},[234],{"categories":2979},[160],{"categories":2981},[160],{"categories":2983},[160],{"categories":2985},[160],{"categories":2987},[215],{"categories":2989},[160],{"categories":2991},[160],{"categories":2993},[160],{"categories":2995},[220],{"categories":2997},[160],{"categories":2999},[160],{"categories":3001},[],{"categories":3003},[160],{"categories":3005},[234],{"categories":3007},[210],{"categories":3009},[160],{"categories":3011},[160],{"categories":3013},[314],{"categories":3015},[160],{"categories":3017},[],{"categories":3019},[160],{"categories":3021},[573],{"categories":3023},[220],{"categories":3025},[215],{"categories":3027},[259],{"categories":3029},[160],{"categories":3031},[160],{"categories":3033},[],{"categories":3035},[215],{"categories":3037},[215],{"categories":3039},[160],{"categories":3041},[160],{"categories":3043},[223],{"categories":3045},[160],{"categories":3047},[160],{"categories":3049},[160],{"categories":3051},[160],{"categories":3053},[234],{"categories":3055},[237],{"categories":3057},[234],{"categories":3059},[160],{"categories":3061},[],{"categories":3063},[160],{"categories":3065},[234],{"categories":3067},[160],{"categories":3069},[234],{"categories":3071},[220],{"categories":3073},[688],{"categories":3075},[],{"categories":3077},[],{"categories":3079},[160],{"categories":3081},[259],{"categories":3083},[],{"categories":3085},[386],{"categories":3087},[160],{"categories":3089},[160],{"categories":3091},[160],{"categories":3093},[314],{"categories":3095},[1014],{"categories":3097},[],{"categories":3099},[160],{"categories":3101},[160],{"categories":3103},[160],{"categories":3105},[234],{"categories":3107},[160],{"categories":3109},[160],{"categories":3111},[160],{"categories":3113},[160,386],{"categories":3115},[160],{"categories":3117},[160],{"categories":3119},[314],{"categories":3121},[220],{"categories":3123},[],{"categories":3125},[220],{"categories":3127},[220],{"categories":3129},[160],{"categories":3131},[160],{"categories":3133},[160],{"categories":3135},[160],{"categories":3137},[237],{"categories":3139},[160],{"categories":3141},[2753],{"categories":3143},[210],{"categories":3145},[160],{"categories":3147},[237],{"categories":3149},[210],{"categories":3151},[234],{"categories":3153},[314],{"categories":3155},[220],{"categories":3157},[160],{"categories":3159},[],{"categories":3161},[215],{"categories":3163},[160],{"categories":3165},[160],{"categories":3167},[259],{"categories":3169},[160],{"categories":3171},[160],{"categories":3173},[160],{"categories":3175},[220],{"categories":3177},[160],{"categories":3179},[160],{"categories":3181},[314],{"categories":3183},[160],{"categories":3185},[215],{"categories":3187},[],{"categories":3189},[386],{"categories":3191},[160],{"categories":3193},[492],{"categories":3195},[314],{"categories":3197},[314],{"categories":3199},[234],{"categories":3201},[220],{"categories":3203},[160],{"categories":3205},[215],{"categories":3207},[259],{"categories":3209},[160],{"categories":3211},[160],{"categories":3213},[160],{"categories":3215},[314],{"categories":3217},[220],{"categories":3219},[160],{"categories":3221},[220],{"categories":3223},[160],{"categories":3225},[220],{"categories":3227},[160],{"categories":3229},[642],{"categories":3231},[160],{"categories":3233},[220],{"categories":3235},[],{"categories":3237},[160],{"categories":3239},[160],{"categories":3241},[160],{"categories":3243},[160],{"categories":3245},[],{"categories":3247},[],{"categories":3249},[160],{"categories":3251},[160],{"categories":3253},[220],{"categories":3255},[160],{"categories":3257},[160],{"categories":3259},[160],{"categories":3261},[234],{"categories":3263},[160],{"categories":3265},[160],{"categories":3267},[220],{"categories":3269},[160],{"categories":3271},[160],{"categories":3273},[160],{"categories":3275},[160],{"categories":3277},[160],{"categories":3279},[],{"categories":3281},[234],{"categories":3283},[237],{"categories":3285},[160],{"categories":3287},[220],{"categories":3289},[220],{"categories":3291},[160],{"categories":3293},[160],{"categories":3295},[],{"categories":3297},[],{"categories":3299},[160],{"categories":3301},[160],{"categories":3303},[160],{"categories":3305},[259],{"categories":3307},[237],{"categories":3309},[],{"categories":3311},[160],{"categories":3313},[314],{"categories":3315},[160],{"categories":3317},[386],{"categories":3319},[2003],{"categories":3321},[160],{"categories":3323},[259],{"categories":3325},[234],{"categories":3327},[160],{"categories":3329},[234],{"categories":3331},[234],{"categories":3333},[160],{"categories":3335},[160],{"categories":3337},[234],{"categories":3339},[259],{"categories":3341},[259],{"categories":3343},[386],{"categories":3345},[220],{"categories":3347},[],{"categories":3349},[259],{"categories":3351},[215],{"categories":3353},[160],{"categories":3355},[220],{"categories":3357},[210],{"categories":3359},[234],{"categories":3361},[160],{"categories":3363},[259],{"categories":3365},[],{"categories":3367},[160],{"categories":3369},[234],{"categories":3371},[234],{"categories":3373},[237],{"categories":3375},[160],{"categories":3377},[259],{"categories":3379},[160],{"categories":3381},[234],{"categories":3383},[220],{"categories":3385},[220],{"categories":3387},[259],{"categories":3389},[220],{"categories":3391},[386],{"categories":3393},[220],{"categories":3395},[160],{"categories":3397},[160],{"categories":3399},[160],{"categories":3401},[160],{"categories":3403},[160],{"categories":3405},[234],{"categories":3407},[160],{"categories":3409},[],{"categories":3411},[220],{"categories":3413},[215],{"categories":3415},[234],{"categories":3417},[],{"categories":3419},[],{"categories":3421},[160],{"categories":3423},[220],{"categories":3425},[160],{"categories":3427},[160],{"categories":3429},[160],{"categories":3431},[3432],"Frameworks & Tooling",{"categories":3434},[160],{"categories":3436},[160],{"categories":3438},[234],{"categories":3440},[160],{"categories":3442},[160],{"categories":3444},[],{"categories":3446},[237],{"categories":3448},[237],{"categories":3450},[160],{"categories":3452},[210],{"categories":3454},[160],{"categories":3456},[220],{"categories":3458},[160],{"categories":3460},[314],{"categories":3462},[],{"categories":3464},[2003],{"categories":3466},[160],{"categories":3468},[234],{"categories":3470},[160],{"categories":3472},[386],{"categories":3474},[386],{"categories":3476},[],{"categories":3478},[220],{"categories":3480},[220],{"categories":3482},[160],{"categories":3484},[160],{"categories":3486},[259],{"categories":3488},[220],{"categories":3490},[259],{"categories":3492},[160],{"categories":3494},[220],{"categories":3496},[],{"categories":3498},[314],{"categories":3500},[160],{"categories":3502},[160],{"categories":3504},[],{"categories":3506},[160],{"categories":3508},[220],{"categories":3510},[160],{"categories":3512},[160],{"categories":3514},[160],{"categories":3516},[],{"categories":3518},[215],{"categories":3520},[234],{"categories":3522},[160],{"categories":3524},[234],{"categories":3526},[386],{"categories":3528},[160],{"categories":3530},[160],{"categories":3532},[160],{"categories":3534},[234],{"categories":3536},[160],{"categories":3538},[215],{"categories":3540},[160],{"categories":3542},[2003],{"categories":3544},[],{"categories":3546},[220],{"categories":3548},[210],{"categories":3550},[160],{"categories":3552},[210],{"categories":3554},[160],{"categories":3556},[],{"categories":3558},[220],{"categories":3560},[160],{"categories":3562},[160],{"categories":3564},[3565],"AI Design Tooling",{"categories":3567},[314],{"categories":3569},[160],{"categories":3571},[160],{"categories":3573},[234],{"categories":3575},[314],{"categories":3577},[160],{"categories":3579},[160],{"categories":3581},[234],{"categories":3583},[220],{"categories":3585},[259],{"categories":3587},[223],{"categories":3589},[234],{"categories":3591},[160],{"categories":3593},[160],{"categories":3595},[160],{"categories":3597},[220],{"categories":3599},[160],{"categories":3601},[],{"categories":3603},[220],{"categories":3605},[160],{"categories":3607},[160],{"categories":3609},[220],{"categories":3611},[160],{"categories":3613},[160],{"categories":3615},[160],{"categories":3617},[220],{"categories":3619},[],{"categories":3621},[220],{"categories":3623},[3432],{"categories":3625},[160],{"categories":3627},[160],{"categories":3629},[220],{"categories":3631},[220],{"categories":3633},[234],{"categories":3635},[234],{"categories":3637},[160],{"categories":3639},[160],{"categories":3641},[],{"categories":3643},[234],{"categories":3645},[160],{"categories":3647},[160],{"categories":3649},[220],{"categories":3651},[215],{"categories":3653},[160],{"categories":3655},[],{"categories":3657},[160],{"categories":3659},[160],{"categories":3661},[2482],{"categories":3663},[],{"categories":3665},[160],{"categories":3667},[160],{"categories":3669},[160],{"categories":3671},[160],{"categories":3673},[314],{"categories":3675},[160],{"categories":3677},[],{"categories":3679},[160],{"categories":3681},[160],{"categories":3683},[160],{"categories":3685},[160],{"categories":3687},[345],{"categories":3689},[259],{"categories":3691},[160],{"categories":3693},[160],{"categories":3695},[2003],{"categories":3697},[160],{"categories":3699},[210],{"categories":3701},[160],{"categories":3703},[160],{"categories":3705},[237],{"categories":3707},[220],{"categories":3709},[160],{"categories":3711},[160],{"categories":3713},[259],{"categories":3715},[220],{"categories":3717},[],{"categories":3719},[160],{"categories":3721},[160],{"categories":3723},[314],{"categories":3725},[160],{"categories":3727},[345],{"categories":3729},[220],{"categories":3731},[160],{"categories":3733},[220],{"categories":3735},[160],{"categories":3737},[],{"categories":3739},[],{"categories":3741},[],{"categories":3743},[210],{"categories":3745},[259],{"categories":3747},[220],{"categories":3749},[160],{"categories":3751},[160],{"categories":3753},[160],{"categories":3755},[160],{"categories":3757},[515],{"categories":3759},[314],{"categories":3761},[220],{"categories":3763},[160],{"categories":3765},[],{"categories":3767},[220],{"categories":3769},[220],{"categories":3771},[],{"categories":3773},[160],{"categories":3775},[220],{"categories":3777},[160],{"categories":3779},[],{"categories":3781},[160],{"categories":3783},[160],{"categories":3785},[160],{"categories":3787},[259],{"categories":3789},[314],{"categories":3791},[220],{"categories":3793},[314],{"categories":3795},[220],{"categories":3797},[160],{"categories":3799},[215],{"categories":3801},[],{"categories":3803},[],{"categories":3805},[160],{"categories":3807},[160],{"categories":3809},[160],{"categories":3811},[210],{"categories":3813},[160],{"categories":3815},[220],{"categories":3817},[259],{"categories":3819},[],{"categories":3821},[314],{"categories":3823},[220],{"categories":3825},[],{"categories":3827},[234],{"categories":3829},[160],{"categories":3831},[234],{"categories":3833},[314],{"categories":3835},[234],{"categories":3837},[160],{"categories":3839},[],{"categories":3841},[160],{"categories":3843},[160],{"categories":3845},[220],{"categories":3847},[],{"categories":3849},[160],{"categories":3851},[160],{"categories":3853},[345],{"categories":3855},[160],{"categories":3857},[160],{"categories":3859},[386],{"categories":3861},[234],{"categories":3863},[160],{"categories":3865},[220],{"categories":3867},[],{"categories":3869},[160],{"categories":3871},[220],{"categories":3873},[160],{"categories":3875},[210],{"categories":3877},[642],{"categories":3879},[160],{"categories":3881},[160],{"categories":3883},[160],{"categories":3885},[220],{"categories":3887},[160],{"categories":3889},[220],{"categories":3891},[160],{"categories":3893},[160],{"categories":3895},[160],{"categories":3897},[220],{"categories":3899},[160],{"categories":3901},[160],{"categories":3903},[],{"categories":3905},[160],{"categories":3907},[210],{"categories":3909},[160],{"categories":3911},[215],{"categories":3913},[234],{"categories":3915},[314],{"categories":3917},[],{"categories":3919},[160],{"categories":3921},[],{"categories":3923},[220],{"categories":3925},[160],{"categories":3927},[220],{"categories":3929},[],{"categories":3931},[220],{"categories":3933},[160],{"categories":3935},[234],{"categories":3937},[314],{"categories":3939},[259],{"categories":3941},[160],{"categories":3943},[259],{"categories":3945},[220],{"categories":3947},[314],{"categories":3949},[160],{"categories":3951},[],{"categories":3953},[160],{"categories":3955},[248],{"categories":3957},[220],{"categories":3959},[160],{"categories":3961},[314],{"categories":3963},[259],{"categories":3965},[160],{"categories":3967},[215],{"categories":3969},[234],{"categories":3971},[160],{"categories":3973},[160],{"categories":3975},[160],{"categories":3977},[160],{"categories":3979},[160],{"categories":3981},[259],{"categories":3983},[234],{"categories":3985},[345],{"categories":3987},[],{"categories":3989},[],{"categories":3991},[237],{"categories":3993},[573],{"categories":3995},[160],{"categories":3997},[220],{"categories":3999},[160,234],{"categories":4001},[259],{"categories":4003},[160],{"categories":4005},[160],{"categories":4007},[160],{"categories":4009},[160],{"categories":4011},[160],{"categories":4013},[160],{"categories":4015},[160],{"categories":4017},[220],{"categories":4019},[160],{"categories":4021},[160],{"categories":4023},[220],{"categories":4025},[160],{"categories":4027},[160],{"categories":4029},[160],{"categories":4031},[],{"categories":4033},[160],{"categories":4035},[1395],{"categories":4037},[234],{"categories":4039},[314],{"categories":4041},[160],{"categories":4043},[160],{"categories":4045},[160],{"categories":4047},[160],{"categories":4049},[237],{"categories":4051},[220],{"categories":4053},[345],{"categories":4055},[386],{"categories":4057},[],{"categories":4059},[234],{"categories":4061},[160],{"categories":4063},[215],{"categories":4065},[220],{"categories":4067},[160],{"categories":4069},[210],{"categories":4071},[220],{"categories":4073},[160],{"categories":4075},[220],{"categories":4077},[220],{"categories":4079},[223],{"categories":4081},[234],{"categories":4083},[160],{"categories":4085},[160],{"categories":4087},[],{"categories":4089},[],{"categories":4091},[],{"categories":4093},[386],{"categories":4095},[160],{"categories":4097},[259],{"categories":4099},[160],{"categories":4101},[160],{"categories":4103},[160],{"categories":4105},[160],{"categories":4107},[234],{"categories":4109},[160],{"categories":4111},[],{"categories":4113},[160],{"categories":4115},[237],{"categories":4117},[215],{"categories":4119},[220],{"categories":4121},[160],{"categories":4123},[],{"categories":4125},[160],{"categories":4127},[220],{"categories":4129},[234],{"categories":4131},[160],{"categories":4133},[160],{"categories":4135},[160],{"categories":4137},[386],{"categories":4139},[],{"categories":4141},[314],{"categories":4143},[314],{"categories":4145},[160],{"categories":4147},[220],{"categories":4149},[],{"categories":4151},[234],{"categories":4153},[160],{"categories":4155},[314],{"categories":4157},[160],{"categories":4159},[215],{"categories":4161},[220],{"categories":4163},[160],{"categories":4165},[],{"categories":4167},[259],{"categories":4169},[160],{"categories":4171},[160],{"categories":4173},[160],{"categories":4175},[160],{"categories":4177},[314],{"categories":4179},[220],{"categories":4181},[259],{"categories":4183},[],{"categories":4185},[220],{"categories":4187},[160],{"categories":4189},[215],{"categories":4191},[220],{"categories":4193},[314],{"categories":4195},[160],{"categories":4197},[160],{"categories":4199},[160],{"categories":4201},[573],{"categories":4203},[160],{"categories":4205},[220],{"categories":4207},[],{"categories":4209},[160],{"categories":4211},[160],{"categories":4213},[386],{"categories":4215},[259],{"categories":4217},[237],{"categories":4219},[688],{"categories":4221},[237],{"categories":4223},[237],{"categories":4225},[160],{"categories":4227},[],{"categories":4229},[],{"categories":4231},[],{"categories":4233},[220],{"categories":4235},[160],{"categories":4237},[160],{"categories":4239},[220],{"categories":4241},[220],{"categories":4243},[234],{"categories":4245},[160],{"categories":4247},[548],{"categories":4249},[234],{"categories":4251},[160],{"categories":4253},[220],{"categories":4255},[160],{"categories":4257},[160],{"categories":4259},[160],{"categories":4261},[215],{"categories":4263},[160],{"categories":4265},[160],{"categories":4267},[160],{"categories":4269},[220],{"categories":4271},[160],{"categories":4273},[],{"categories":4275},[],{"categories":4277},[160],{"categories":4279},[],{"categories":4281},[160],{"categories":4283},[220],{"categories":4285},[314],{"categories":4287},[160],{"categories":4289},[160],{"categories":4291},[220],{"categories":4293},[],{"categories":4295},[220],{"categories":4297},[160],{"categories":4299},[160],{"categories":4301},[223],{"categories":4303},[160],{"categories":4305},[314],{"categories":4307},[160],{"categories":4309},[220],{"categories":4311},[215],{"categories":4313},[160],{"categories":4315},[160],{"categories":4317},[160],{"categories":4319},[345],{"categories":4321},[220],{"categories":4323},[160],{"categories":4325},[160],{"categories":4327},[1014],{"categories":4329},[160],{"categories":4331},[220],{"categories":4333},[160],{"categories":4335},[234],{"categories":4337},[160],{"categories":4339},[642],{"categories":4341},[314],{"categories":4343},[],{"categories":4345},[160],{"categories":4347},[160],{"categories":4349},[259],{"categories":4351},[573],{"categories":4353},[220],{"categories":4355},[160],{"categories":4357},[],{"categories":4359},[259],{"categories":4361},[492],{"categories":4363},[220],{"categories":4365},[220],{"categories":4367},[220],{"categories":4369},[160],{"categories":4371},[160],{"categories":4373},[220],{"categories":4375},[160],{"categories":4377},[],{"categories":4379},[215],{"categories":4381},[160],{"categories":4383},[314],{"categories":4385},[215],{"categories":4387},[220],{"categories":4389},[],{"categories":4391},[234],{"categories":4393},[160],{"categories":4395},[160],{"categories":4397},[210],{"categories":4399},[160],{"categories":4401},[259],{"categories":4403},[386],{"categories":4405},[248],{"categories":4407},[220],{"categories":4409},[220],{"categories":4411},[160],{"categories":4413},[160],{"categories":4415},[220],{"categories":4417},[160],{"categories":4419},[210],{"categories":4421},[],{"categories":4423},[220],{"categories":4425},[160],{"categories":4427},[160],{"categories":4429},[160],{"categories":4431},[220],{"categories":4433},[160],{"categories":4435},[],{"categories":4437},[160],{"categories":4439},[],{"categories":4441},[314],{"categories":4443},[220],{"categories":4445},[160,215],{"categories":4447},[220],{"categories":4449},[160],{"categories":4451},[],{"categories":4453},[210],{"categories":4455},[237],{"categories":4457},[215],{"categories":4459},[160],{"categories":4461},[234],{"categories":4463},[160],{"categories":4465},[160],{"categories":4467},[220],{"categories":4469},[160],{"categories":4471},[160],{"categories":4473},[160],{"categories":4475},[259],{"categories":4477},[1395],{"categories":4479},[220],{"categories":4481},[160],{"categories":4483},[],{"categories":4485},[],{"categories":4487},[160],{"categories":4489},[220],{"categories":4491},[160],{"categories":4493},[160],{"categories":4495},[386],{"categories":4497},[],{"categories":4499},[160],{"categories":4501},[220],{"categories":4503},[248],{"categories":4505},[220],{"categories":4507},[160],{"categories":4509},[573],{"categories":4511},[],{"categories":4513},[515],{"categories":4515},[160],{"categories":4517},[220],{"categories":4519},[160],{"categories":4521},[160],{"categories":4523},[160],{"categories":4525},[345],{"categories":4527},[160],{"categories":4529},[220],{"categories":4531},[160],{"categories":4533},[237],{"categories":4535},[223],{"categories":4537},[220],{"categories":4539},[160],{"categories":4541},[573],{"categories":4543},[160],{"categories":4545},[386],{"categories":4547},[215],{"categories":4549},[],{"categories":4551},[160],{"categories":4553},[160],{"categories":4555},[345],{"categories":4557},[314],{"categories":4559},[160],{"categories":4561},[160],{"categories":4563},[160],{"categories":4565},[],{"categories":4567},[345],{"categories":4569},[259],{"categories":4571},[160],{"categories":4573},[160],{"categories":4575},[160],{"categories":4577},[688],{"categories":4579},[210],{"categories":4581},[160],{"categories":4583},[223],{"categories":4585},[160],{"categories":4587},[160],{"categories":4589},[],{"categories":4591},[],{"categories":4593},[314],{"categories":4595},[160],{"categories":4597},[160],{"categories":4599},[237],{"categories":4601},[345],{"categories":4603},[220],{"categories":4605},[160],{"categories":4607},[160],{"categories":4609},[345],{"categories":4611},[259],{"categories":4613},[160],{"categories":4615},[],{"categories":4617},[160],{"categories":4619},[160],{"categories":4621},[],{"categories":4623},[160],{"categories":4625},[160],{"categories":4627},[715],{"categories":4629},[160],{"categories":4631},[160],{"categories":4633},[220],{"categories":4635},[234],{"categories":4637},[573],{"categories":4639},[160],{"categories":4641},[215],{"categories":4643},[160],{"categories":4645},[160],{"categories":4647},[],{"categories":4649},[160,234],{"categories":4651},[259],{"categories":4653},[220],{"categories":4655},[234],{"categories":4657},[220],{"categories":4659},[1054],{"categories":4661},[234],{"categories":4663},[234],{"categories":4665},[220],{"categories":4667},[160],{"categories":4669},[210],{"categories":4671},[160],{"categories":4673},[],{"categories":4675},[],{"categories":4677},[220],{"categories":4679},[160],{"categories":4681},[234],{"categories":4683},[220],{"categories":4685},[160],{"categories":4687},[210],{"categories":4689},[234],{"categories":4691},[234],{"categories":4693},[160],{"categories":4695},[345],{"categories":4697},[160],{"categories":4699},[160],{"categories":4701},[234],{"categories":4703},[160],{"categories":4705},[],{"categories":4707},[160],{"categories":4709},[160],{"categories":4711},[314,160],{"categories":4713},[386],{"categories":4715},[210],{"categories":4717},[160],{"categories":4719},[],{"categories":4721},[160],{"categories":4723},[160],{"categories":4725},[215],{"categories":4727},[160],{"categories":4729},[215],{"categories":4731},[160],{"categories":4733},[160],{"categories":4735},[492],{"categories":4737},[160],{"categories":4739},[215],{"categories":4741},[234],{"categories":4743},[237],{"categories":4745},[220],{"categories":4747},[160],{"categories":4749},[234],{"categories":4751},[160],{"categories":4753},[160],{"categories":4755},[259],{"categories":4757},[345],{"categories":4759},[314],{"categories":4761},[160],{"categories":4763},[160],{"categories":4765},[223],{"categories":4767},[160],{"categories":4769},[160],{"categories":4771},[210],{"categories":4773},[160],{"categories":4775},[220],{"categories":4777},[220],{"categories":4779},[234],{"categories":4781},[160],{"categories":4783},[259],{"categories":4785},[234],{"categories":4787},[234],{"categories":4789},[160],{"categories":4791},[160],{"categories":4793},[],{"categories":4795},[],{"categories":4797},[237],{"categories":4799},[160],{"categories":4801},[234],{"categories":4803},[160],{"categories":4805},[314],{"categories":4807},[573],{"categories":4809},[515],{"categories":4811},[492],{"categories":4813},[160],{"categories":4815},[160],{"categories":4817},[234],{"categories":4819},[160],{"categories":4821},[237],{"categories":4823},[160],{"categories":4825},[160],{"categories":4827},[160],{"categories":4829},[160],{"categories":4831},[160],{"categories":4833},[160],{"categories":4835},[160],{"categories":4837},[220],{"categories":4839},[210],{"categories":4841},[220],{"categories":4843},[160,215],{"categories":4845},[],{"categories":4847},[314],{"categories":4849},[],{"categories":4851},[223],{"categories":4853},[160],{"categories":4855},[259],{"categories":4857},[210],{"categories":4859},[160],{"categories":4861},[210],{"categories":4863},[220],{"categories":4865},[237],{"categories":4867},[220],{"categories":4869},[215],{"categories":4871},[223],{"categories":4873},[160],{"categories":4875},[220],{"categories":4877},[160],{"categories":4879},[160],{"categories":4881},[160],{"categories":4883},[215],{"categories":4885},[220],{"categories":4887},[234],{"categories":4889},[345],{"categories":4891},[160],{"categories":4893},[160],{"categories":4895},[],{"categories":4897},[259],{"categories":4899},[160],{"categories":4901},[160],{"categories":4903},[160],{"categories":4905},[160],{"categories":4907},[160],{"categories":4909},[160],{"categories":4911},[234],{"categories":4913},[259],{"categories":4915},[234],{"categories":4917},[234],{"categories":4919},[160],{"categories":4921},[160],{"categories":4923},[160],{"categories":4925},[160],{"categories":4927},[515],{"categories":4929},[160],{"categories":4931},[220],{"categories":4933},[220],{"categories":4935},[259],{"categories":4937},[160],{"categories":4939},[160],{"categories":4941},[160],{"categories":4943},[220],{"categories":4945},[160],{"categories":4947},[160],{"categories":4949},[160],{"categories":4951},[3432],{"categories":4953},[4954],"Clinical AI",{"categories":4956},[314],{"categories":4958},[160],{"categories":4960},[160],{"categories":4962},[160],{"categories":4964},[160],{"categories":4966},[386],{"categories":4968},[2753],{"categories":4970},[160],{"categories":4972},[223],{"categories":4974},[314],{"categories":4976},[160],{"categories":4978},[220],{"categories":4980},[160],{"categories":4982},[160],{"categories":4984},[259],{"categories":4986},[160],{"categories":4988},[220],{"categories":4990},[234],{"categories":4992},[345],{"categories":4994},[160],{"categories":4996},[160],{"categories":4998},[215],{"categories":5000},[160],{"categories":5002},[160],{"categories":5004},[642],{"categories":5006},[160],{"categories":5008},[],{"categories":5010},[220],{"categories":5012},[160],{"categories":5014},[234],{"categories":5016},[210],{"categories":5018},[160],{"categories":5020},[],{"categories":5022},[],{"categories":5024},[160],{"categories":5026},[],{"categories":5028},[215],{"categories":5030},[160],{"categories":5032},[160],{"categories":5034},[220],{"categories":5036},[160],{"categories":5038},[259],{"categories":5040},[259],{"categories":5042},[259],{"categories":5044},[259],{"categories":5046},[],{"categories":5048},[210],{"categories":5050},[220],{"categories":5052},[259],{"categories":5054},[160],{"categories":5056},[715],{"categories":5058},[223],{"categories":5060},[220],{"categories":5062},[160],{"categories":5064},[210],{"categories":5066},[160],{"categories":5068},[220],{"categories":5070},[160],{"categories":5072},[160],{"categories":5074},[160],{"categories":5076},[160],{"categories":5078},[160,220],{"categories":5080},[220],{"categories":5082},[386],{"categories":5084},[259],{"categories":5086},[220],{"categories":5088},[259],{"categories":5090},[220],{"categories":5092},[160],{"categories":5094},[],{"categories":5096},[259],{"categories":5098},[345],{"categories":5100},[210],{"categories":5102},[160],{"categories":5104},[160],{"categories":5106},[],{"categories":5108},[234],{"categories":5110},[],{"categories":5112},[210],{"categories":5114},[220],{"categories":5116},[259],{"categories":5118},[160],{"categories":5120},[259],{"categories":5122},[210],{"categories":5124},[259],{"categories":5126},[259],{"categories":5128},[],{"categories":5130},[215],{"categories":5132},[220],{"categories":5134},[259],{"categories":5136},[259],{"categories":5138},[259],{"categories":5140},[259],{"categories":5142},[259],{"categories":5144},[259],{"categories":5146},[259],{"categories":5148},[259],{"categories":5150},[259],{"categories":5152},[259],{"categories":5154},[237],{"categories":5156},[210],{"categories":5158},[160],{"categories":5160},[160],{"categories":5162},[220],{"categories":5164},[220],{"categories":5166},[],{"categories":5168},[160],{"categories":5170},[160,210],{"categories":5172},[],{"categories":5174},[220],{"categories":5176},[160],{"categories":5178},[259],{"categories":5180},[220],{"categories":5182},[220],{"categories":5184},[1054],{"categories":5186},[160],{"categories":5188},[160],{"categories":5190},[160],{"categories":5192},[160],{"categories":5194},[223],{"categories":5196},[160],{"categories":5198},[160],{"categories":5200},[492],{"categories":5202},[160],{"categories":5204},[160],{"categories":5206},[220],{"categories":5208},[160],{"categories":5210},[160],{"categories":5212},[160],{"categories":5214},[215],{"categories":5216},[223],{"categories":5218},[220],{"categories":5220},[220],{"categories":5222},[],{"categories":5224},[220],{"categories":5226},[314],{"categories":5228},[259],{"categories":5230},[160],{"categories":5232},[],{"categories":5234},[223],{"categories":5236},[],{"categories":5238},[234],{"categories":5240},[160],{"categories":5242},[220],{"categories":5244},[314],{"categories":5246},[160],{"categories":5248},[160],{"categories":5250},[],{"categories":5252},[160],{"categories":5254},[160],{"categories":5256},[],{"categories":5258},[345],{"categories":5260},[160],{"categories":5262},[220],{"categories":5264},[],{"categories":5266},[],{"categories":5268},[259],{"categories":5270},[210],{"categories":5272},[160],{"categories":5274},[160],{"categories":5276},[215],{"categories":5278},[160],{"categories":5280},[160],{"categories":5282},[220],{"categories":5284},[160],{"categories":5286},[215],{"categories":5288},[215],{"categories":5290},[314],{"categories":5292},[],{"categories":5294},[160],{"categories":5296},[259],{"categories":5298},[],{"categories":5300},[160],{"categories":5302},[160],{"categories":5304},[314],{"categories":5306},[160],{"categories":5308},[160],{"categories":5310},[345],{"categories":5312},[160],{"categories":5314},[386],{"categories":5316},[],{"categories":5318},[220],{"categories":5320},[160],{"categories":5322},[345],{"categories":5324},[234],{"categories":5326},[],{"categories":5328},[160],{"categories":5330},[],{"categories":5332},[220],{"categories":5334},[314],{"categories":5336},[234],{"categories":5338},[],{"categories":5340},[3432],{"categories":5342},[215],{"categories":5344},[210],{"categories":5346},[160],{"categories":5348},[237],{"categories":5350},[220],{"categories":5352},[314],{"categories":5354},[160],{"categories":5356},[160],{"categories":5358},[234],{"categories":5360},[],{"categories":5362},[],{"categories":5364},[160],{"categories":5366},[210],{"categories":5368},[160],{"categories":5370},[345],{"categories":5372},[],{"categories":5374},[220],{"categories":5376},[220],{"categories":5378},[160],{"categories":5380},[220],{"categories":5382},[160],{"categories":5384},[259],{"categories":5386},[160],{"categories":5388},[234],{"categories":5390},[160],{"categories":5392},[220],{"categories":5394},[223],{"categories":5396},[160],{"categories":5398},[160],{"categories":5400},[160],{"categories":5402},[160],{"categories":5404},[220],{"categories":5406},[160],{"categories":5408},[223],{"categories":5410},[345],{"categories":5412},[259],{"categories":5414},[],{"categories":5416},[345],{"categories":5418},[160],{"categories":5420},[],{"categories":5422},[234],{"categories":5424},[220],{"categories":5426},[],{"categories":5428},[160],{"categories":5430},[160],{"categories":5432},[160],{"categories":5434},[160],{"categories":5436},[160],{"categories":5438},[220],{"categories":5440},[215],{"categories":5442},[210],{"categories":5444},[160],{"categories":5446},[160],{"categories":5448},[220],{"categories":5450},[160],{"categories":5452},[314],{"categories":5454},[234],{"categories":5456},[234],{"categories":5458},[160],{"categories":5460},[237],{"categories":5462},[220],{"categories":5464},[160],{"categories":5466},[160],{"categories":5468},[220],{"categories":5470},[160],{"categories":5472},[160],{"categories":5474},[220],{"categories":5476},[215],{"categories":5478},[160],{"categories":5480},[314],{"categories":5482},[234],{"categories":5484},[220],{"categories":5486},[160],{"categories":5488},[223],{"categories":5490},[160],{"categories":5492},[220],{"categories":5494},[160],{"categories":5496},[160],{"categories":5498},[259],{"categories":5500},[160],{"categories":5502},[],{"categories":5504},[210],{"categories":5506},[160],{"categories":5508},[160],{"categories":5510},[160],{"categories":5512},[234],{"categories":5514},[234],{"categories":5516},[160],{"categories":5518},[234],{"categories":5520},[160],{"categories":5522},[220],{"categories":5524},[160],{"categories":5526},[160],{"categories":5528},[160],{"categories":5530},[160],{"categories":5532},[160],{"categories":5534},[],{"categories":5536},[160],{"categories":5538},[314],{"categories":5540},[220],{"categories":5542},[215],{"categories":5544},[259],{"categories":5546},[160],{"categories":5548},[220],{"categories":5550},[160],{"categories":5552},[220],{"categories":5554},[160],{"categories":5556},[160],{"categories":5558},[314],{"categories":5560},[220],{"categories":5562},[160],{"categories":5564},[345],{"categories":5566},[215],{"categories":5568},[160],{"categories":5570},[237],{"categories":5572},[160],{"categories":5574},[160],{"categories":5576},[259],{"categories":5578},[160],{"categories":5580},[160],{"categories":5582},[160],{"categories":5584},[160],{"categories":5586},[220],{"categories":5588},[386],{"categories":5590},[160],{"categories":5592},[234],{"categories":5594},[220],{"categories":5596},[237],{"categories":5598},[],{"categories":5600},[220],{"categories":5602},[234],{"categories":5604},[160],{"categories":5606},[160],{"categories":5608},[160],{"categories":5610},[2579],{"categories":5612},[160],{"categories":5614},[314],{"categories":5616},[421],{"categories":5618},[160],{"categories":5620},[160],{"categories":5622},[160],{"categories":5624},[160],{"categories":5626},[160],{"categories":5628},[210],{"categories":5630},[220],{"categories":5632},[160],{"categories":5634},[160],{"categories":5636},[234],{"categories":5638},[215],{"categories":5640},[160],{"categories":5642},[234],{"categories":5644},[160],{"categories":5646},[],{"categories":5648},[220],{"categories":5650},[220],{"categories":5652},[160],{"categories":5654},[160],{"categories":5656},[160],{"categories":5658},[237],{"categories":5660},[],{"categories":5662},[259],{"categories":5664},[],{"categories":5666},[259],{"categories":5668},[160],{"categories":5670},[160],{"categories":5672},[160],{"categories":5674},[220],{"categories":5676},[160],{"categories":5678},[220],{"categories":5680},[220],{"categories":5682},[],{"categories":5684},[160],{"categories":5686},[259],{"categories":5688},[160],{"categories":5690},[],{"categories":5692},[160],{"categories":5694},[160],{"categories":5696},[],{"categories":5698},[160],{"categories":5700},[160],{"categories":5702},[314],{"categories":5704},[234],{"categories":5706},[220],{"categories":5708},[160],{"categories":5710},[160],{"categories":5712},[160],{"categories":5714},[160],{"categories":5716},[345],{"categories":5718},[160],{"categories":5720},[160],{"categories":5722},[160],{"categories":5724},[210],{"categories":5726},[160],{"categories":5728},[160],{"categories":5730},[],{"categories":5732},[160],{"categories":5734},[160],{"categories":5736},[160],{"categories":5738},[],{"categories":5740},[210],{"categories":5742},[160],{"categories":5744},[160],{"categories":5746},[160],{"categories":5748},[259],{"categories":5750},[160],{"categories":5752},[234],{"categories":5754},[223],{"categories":5756},[220],{"categories":5758},[573],{"categories":5760},[160],{"categories":5762},[160],{"categories":5764},[160],{"categories":5766},[234],{"categories":5768},[259],{"categories":5770},[314],{"categories":5772},[160],{"categories":5774},[160],{"categories":5776},[160],{"categories":5778},[160],{"categories":5780},[160],{"categories":5782},[160],{"categories":5784},[259],{"categories":5786},[160],{"categories":5788},[314],{"categories":5790},[160],{"categories":5792},[160],{"categories":5794},[259],{"categories":5796},[314],{"categories":5798},[160],{"categories":5800},[259],{"categories":5802},[160],{"categories":5804},[220],{"categories":5806},[220],{"categories":5808},[220],{"categories":5810},[234],{"categories":5812},[259],{"categories":5814},[220],{"categories":5816},[220],{"categories":5818},[160],{"categories":5820},[234],{"categories":5822},[314],{"categories":5824},[160],{"categories":5826},[160],{"categories":5828},[220],{"categories":5830},[160],{"categories":5832},[],{"categories":5834},[220],{"categories":5836},[],{"categories":5838},[160],{"categories":5840},[160],{"categories":5842},[],{"categories":5844},[],{"categories":5846},[220],{"categories":5848},[215],{"categories":5850},[220],{"categories":5852},[5853],"Liability & Ethics",{"categories":5855},[160],{"categories":5857},[160],{"categories":5859},[160],{"categories":5861},[220],{"categories":5863},[210],{"categories":5865},[220],{"categories":5867},[215],{"categories":5869},[345],{"categories":5871},[160],{"categories":5873},[220],{"categories":5875},[160],{"categories":5877},[160],{"categories":5879},[160],{"categories":5881},[],{"categories":5883},[688],{"categories":5885},[220],{"categories":5887},[],{"categories":5889},[160],{"categories":5891},[210],{"categories":5893},[220],{"categories":5895},[160],{"categories":5897},[],{"categories":5899},[220],{"categories":5901},[160],{"categories":5903},[160],{"categories":5905},[234],{"categories":5907},[160],{"categories":5909},[259],{"categories":5911},[160],{"categories":5913},[160],{"categories":5915},[223],{"categories":5917},[160],{"categories":5919},[220],{"categories":5921},[160],{"categories":5923},[160],{"categories":5925},[160],{"categories":5927},[259],{"categories":5929},[220],{"categories":5931},[234],{"categories":5933},[314],{"categories":5935},[210],{"categories":5937},[160],{"categories":5939},[160],{"categories":5941},[160],{"categories":5943},[],{"categories":5945},[220],{"categories":5947},[220],{"categories":5949},[220],{"categories":5951},[573],{"categories":5953},[314],{"categories":5955},[220],{"categories":5957},[386],{"categories":5959},[234],{"categories":5961},[259],{"categories":5963},[160],{"categories":5965},[314],{"categories":5967},[160],{"categories":5969},[210],{"categories":5971},[],{"categories":5973},[220],{"categories":5975},[160],{"categories":5977},[160],{"categories":5979},[160],{"categories":5981},[160],{"categories":5983},[220],{"categories":5985},[160],{"categories":5987},[160],{"categories":5989},[314],{"categories":5991},[220],{"categories":5993},[],{"categories":5995},[220],{"categories":5997},[223],{"categories":5999},[160],{"categories":6001},[259],{"categories":6003},[220],{"categories":6005},[215],{"categories":6007},[],{"categories":6009},[160],{"categories":6011},[160],{"categories":6013},[223],{"categories":6015},[160],{"categories":6017},[220],{"categories":6019},[259],{"categories":6021},[210],{"categories":6023},[386],{"categories":6025},[160],{"categories":6027},[160],{"categories":6029},[160],{"categories":6031},[259],{"categories":6033},[215],{"categories":6035},[160],{"categories":6037},[314],{"categories":6039},[259],{"categories":6041},[386],{"categories":6043},[160],{"categories":6045},[220],{"categories":6047},[],{"categories":6049},[642],{"categories":6051},[],{"categories":6053},[160],{"categories":6055},[386],{"categories":6057},[160],{"categories":6059},[237],{"categories":6061},[160],{"categories":6063},[220],{"categories":6065},[220],{"categories":6067},[6068],"Design News & Tools",{"categories":6070},[160],{"categories":6072},[160],{"categories":6074},[259],{"categories":6076},[160],{"categories":6078},[160],{"categories":6080},[160],{"categories":6082},[210],{"categories":6084},[220],{"categories":6086},[160],{"categories":6088},[314],{"categories":6090},[220],{"categories":6092},[220],{"categories":6094},[314],{"categories":6096},[160],{"categories":6098},[160],{"categories":6100},[160],{"categories":6102},[573],{"categories":6104},[220],{"categories":6106},[160],{"categories":6108},[160],{"categories":6110},[160],{"categories":6112},[573],{"categories":6114},[160],{"categories":6116},[345],{"categories":6118},[160],{"categories":6120},[220],{"categories":6122},[],{"categories":6124},[160],{"categories":6126},[160],{"categories":6128},[160],{"categories":6130},[259],{"categories":6132},[160],{"categories":6134},[210],{"categories":6136},[],{"categories":6138},[160],{"categories":6140},[160],{"categories":6142},[160],{"categories":6144},[234],{"categories":6146},[715],{"categories":6148},[234],{"categories":6150},[314],{"categories":6152},[160],{"categories":6154},[160,220],{"categories":6156},[345,215],{"categories":6158},[234],{"categories":6160},[160],{"categories":6162},[160],{"categories":6164},[160],{"categories":6166},[160],{"categories":6168},[],{"categories":6170},[234],{"categories":6172},[220],{"categories":6174},[160],{"categories":6176},[160],{"categories":6178},[],{"categories":6180},[160],{"categories":6182},[234],{"categories":6184},[160],{"categories":6186},[234],{"categories":6188},[160],{"categories":6190},[],{"categories":6192},[220],{"categories":6194},[160],{"categories":6196},[215],{"categories":6198},[160],{"categories":6200},[259],{"categories":6202},[160],{"categories":6204},[],{"categories":6206},[160],{"categories":6208},[220],{"categories":6210},[160],{"categories":6212},[],{"categories":6214},[314],{"categories":6216},[160],{"categories":6218},[160],{"categories":6220},[220],{"categories":6222},[160],{"categories":6224},[160],{"categories":6226},[160],{"categories":6228},[210],{"categories":6230},[160],{"categories":6232},[220],{"categories":6234},[160],{"categories":6236},[],{"categories":6238},[160],{"categories":6240},[386],{"categories":6242},[345],{"categories":6244},[215],{"categories":6246},[215],{"categories":6248},[160],{"categories":6250},[210],{"categories":6252},[210],{"categories":6254},[160],{"categories":6256},[220],{"categories":6258},[160],{"categories":6260},[160],{"categories":6262},[160],{"categories":6264},[160],{"categories":6266},[234],{"categories":6268},[160],{"categories":6270},[210],{"categories":6272},[160],{"categories":6274},[160],{"categories":6276},[220],{"categories":6278},[160],{"categories":6280},[345],{"categories":6282},[160],{"categories":6284},[259],{"categories":6286},[160],{"categories":6288},[160],{"categories":6290},[220],{"categories":6292},[223],{"categories":6294},[160],{"categories":6296},[220],{"categories":6298},[160],{"categories":6300},[220],{"categories":6302},[],{"categories":6304},[234],{"categories":6306},[],{"categories":6308},[234],{"categories":6310},[220],{"categories":6312},[210],{"categories":6314},[160],{"categories":6316},[],{"categories":6318},[237],{"categories":6320},[386],{"categories":6322},[160],{"categories":6324},[234],{"categories":6326},[160],{"categories":6328},[],{"categories":6330},[259],{"categories":6332},[220],{"categories":6334},[234],{"categories":6336},[314],{"categories":6338},[215],{"categories":6340},[160],{"categories":6342},[160],{"categories":6344},[220],{"categories":6346},[234],{"categories":6348},[220],{"categories":6350},[259],{"categories":6352},[160],{"categories":6354},[223],{"categories":6356},[210],{"categories":6358},[223],{"categories":6360},[259],{"categories":6362},[160],{"categories":6364},[234],{"categories":6366},[160],{"categories":6368},[314],{"categories":6370},[215],{"categories":6372},[160],{"categories":6374},[160],{"categories":6376},[160],{"categories":6378},[160],{"categories":6380},[160],{"categories":6382},[160],{"categories":6384},[220],{"categories":6386},[160],{"categories":6388},[160],{"categories":6390},[220],{"categories":6392},[160],{"categories":6394},[160],{"categories":6396},[210],{"categories":6398},[160],{"categories":6400},[220],{"categories":6402},[220],{"categories":6404},[314],{"categories":6406},[220],{"categories":6408},[160],{"categories":6410},[220],{"categories":6412},[160],{"categories":6414},[210],{"categories":6416},[220],{"categories":6418},[314],{"categories":6420},[],{"categories":6422},[160],{"categories":6424},[237],{"categories":6426},[573],{"categories":6428},[160],{"categories":6430},[220],{"categories":6432},[160],{"categories":6434},[160],{"categories":6436},[234],{"categories":6438},[160],{"categories":6440},[],{"categories":6442},[160],{"categories":6444},[220],{"categories":6446},[160],{"categories":6448},[345],{"categories":6450},[314],{"categories":6452},[160],{"categories":6454},[234],{"categories":6456},[160],{"categories":6458},[259],{"categories":6460},[220],{"categories":6462},[160],{"categories":6464},[345],{"categories":6466},[220],{"categories":6468},[215],{"categories":6470},[215],{"categories":6472},[160],{"categories":6474},[160],{"categories":6476},[160],{"categories":6478},[160],{"categories":6480},[160],{"categories":6482},[160],{"categories":6484},[210],{"categories":6486},[160],{"categories":6488},[],{"categories":6490},[160],{"categories":6492},[160],{"categories":6494},[220],{"categories":6496},[160],{"categories":6498},[220],{"categories":6500},[160],{"categories":6502},[160],{"categories":6504},[160],{"categories":6506},[160],{"categories":6508},[160],{"categories":6510},[160],{"categories":6512},[234],{"categories":6514},[],{"categories":6516},[210],{"categories":6518},[160],{"categories":6520},[160],{"categories":6522},[220],{"categories":6524},[220],{"categories":6526},[],{"categories":6528},[234],{"categories":6530},[234],{"categories":6532},[160],{"categories":6534},[345],{"categories":6536},[215],{"categories":6538},[314],{"categories":6540},[160],{"categories":6542},[],{"categories":6544},[160],{"categories":6546},[220],{"categories":6548},[210],{"categories":6550},[160],{"categories":6552},[160],{"categories":6554},[234],{"categories":6556},[210],{"categories":6558},[160],{"categories":6560},[160],{"categories":6562},[259],{"categories":6564},[237],{"categories":6566},[160],{"categories":6568},[259],{"categories":6570},[220],{"categories":6572},[160],{"categories":6574},[],{"categories":6576},[259],{"categories":6578},[220],{"categories":6580},[314],{"categories":6582},[237],{"categories":6584},[160],{"categories":6586},[160],{"categories":6588},[160],{"categories":6590},[],{"categories":6592},[220],{"categories":6594},[220],{"categories":6596},[220],{"categories":6598},[3432],{"categories":6600},[259],{"categories":6602},[160],{"categories":6604},[234],{"categories":6606},[160],{"categories":6608},[160],{"categories":6610},[160],{"categories":6612},[160],{"categories":6614},[160],{"categories":6616},[220],{"categories":6618},[160],{"categories":6620},[215],{"categories":6622},[160],{"categories":6624},[210],{"categories":6626},[2003],{"categories":6628},[386],{"categories":6630},[210],{"categories":6632},[],{"categories":6634},[160],{"categories":6636},[],{"categories":6638},[160],{"categories":6640},[259],{"categories":6642},[220],{"categories":6644},[314],{"categories":6646},[160],{"categories":6648},[160],{"categories":6650},[160],{"categories":6652},[160],{"categories":6654},[160],{"categories":6656},[259],{"categories":6658},[],{"categories":6660},[220],{"categories":6662},[160],{"categories":6664},[220],{"categories":6666},[220],{"categories":6668},[],{"categories":6670},[160],{"categories":6672},[],{"categories":6674},[259],{"categories":6676},[210],{"categories":6678},[160],{"categories":6680},[314],{"categories":6682},[160],{"categories":6684},[220],{"categories":6686},[259],{"categories":6688},[160],{"categories":6690},[259],{"categories":6692},[],{"categories":6694},[259],{"categories":6696},[160],{"categories":6698},[210],{"categories":6700},[220],{"categories":6702},[573],{"categories":6704},[220],{"categories":6706},[160],{"categories":6708},[],{"categories":6710},[234],{"categories":6712},[220],{"categories":6714},[223],{"categories":6716},[220],{"categories":6718},[210],{"categories":6720},[160],{"categories":6722},[160],{"categories":6724},[],{"categories":6726},[],{"categories":6728},[],{"categories":6730},[314],{"categories":6732},[160],{"categories":6734},[220],{"categories":6736},[160],{"categories":6738},[160],{"categories":6740},[],{"categories":6742},[],{"categories":6744},[],{"categories":6746},[160],{"categories":6748},[220],{"categories":6750},[314],{"categories":6752},[160],{"categories":6754},[],{"categories":6756},[220],{"categories":6758},[160],{"categories":6760},[160],{"categories":6762},[210],{"categories":6764},[],{"categories":6766},[],{"categories":6768},[160],{"categories":6770},[160],{"categories":6772},[220],{"categories":6774},[314],{"categories":6776},[160],{"categories":6778},[259],{"categories":6780},[],{"categories":6782},[160],{"categories":6784},[160],{"categories":6786},[345],{"categories":6788},[259],{"categories":6790},[345],{"categories":6792},[234],{"categories":6794},[237],{"categories":6796},[160],{"categories":6798},[160],{"categories":6800},[],{"categories":6802},[],{"categories":6804},[220],{"categories":6806},[],{"categories":6808},[160],{"categories":6810},[573],{"categories":6812},[160],{"categories":6814},[160],{"categories":6816},[160],{"categories":6818},[160],{"categories":6820},[],{"categories":6822},[220],{"categories":6824},[160],{"categories":6826},[160],{"categories":6828},[],{"categories":6830},[220],{"categories":6832},[220],{"categories":6834},[160],{"categories":6836},[259],{"categories":6838},[160],{"categories":6840},[345],{"categories":6842},[160],{"categories":6844},[220],{"categories":6846},[215],{"categories":6848},[223],{"categories":6850},[160],{"categories":6852},[160],{"categories":6854},[220],{"categories":6856},[237],{"categories":6858},[220],{"categories":6860},[220],{"categories":6862},[],{"categories":6864},[160],{"categories":6866},[220],{"categories":6868},[],{"categories":6870},[160],{"categories":6872},[],{"categories":6874},[259],{"categories":6876},[215],{"categories":6878},[],{"categories":6880},[160],{"categories":6882},[160],{"categories":6884},[160],{"categories":6886},[],{"categories":6888},[220],{"categories":6890},[314],{"categories":6892},[210],{"categories":6894},[160],{"categories":6896},[],{"categories":6898},[215],{"categories":6900},[345],{"categories":6902},[160],{"categories":6904},[234],{"categories":6906},[210],{"categories":6908},[237],{"categories":6910},[215],{"categories":6912},[234],{"categories":6914},[220],{"categories":6916},[234],{"categories":6918},[],{"categories":6920},[160],{"categories":6922},[223],{"categories":6924},[223],{"categories":6926},[160],{"categories":6928},[],{"categories":6930},[220],{"categories":6932},[220],{"categories":6934},[210],{"categories":6936},[314],{"categories":6938},[160],{"categories":6940},[210],{"categories":6942},[220],{"categories":6944},[386],{"categories":6946},[160],{"categories":6948},[160],{"categories":6950},[160],{"categories":6952},[160],{"categories":6954},[160],{"categories":6956},[210],{"categories":6958},[160],{"categories":6960},[234],{"categories":6962},[237],{"categories":6964},[220],{"categories":6966},[],{"categories":6968},[160],{"categories":6970},[160],{"categories":6972},[160],{"categories":6974},[234],{"categories":6976},[220],{"categories":6978},[259],{"categories":6980},[234],{"categories":6982},[160],{"categories":6984},[223],{"categories":6986},[],{"categories":6988},[314],{"categories":6990},[234],{"categories":6992},[259],{"categories":6994},[160],{"categories":6996},[210],{"categories":6998},[220],{"categories":7000},[160],{"categories":7002},[160],{"categories":7004},[220],{"categories":7006},[223],{"categories":7008},[160],{"categories":7010},[220],{"categories":7012},[160],{"categories":7014},[215],{"categories":7016},[160],{"categories":7018},[220],{"categories":7020},[220,386],{"categories":7022},[160],{"categories":7024},[160],{"categories":7026},[220],{"categories":7028},[234],{"categories":7030},[160],{"categories":7032},[160],{"categories":7034},[237],{"categories":7036},[220],{"categories":7038},[345],{"categories":7040},[220],{"categories":7042},[215],{"categories":7044},[],{"categories":7046},[220],{"categories":7048},[160],{"categories":7050},[215],{"categories":7052},[],{"categories":7054},[],{"categories":7056},[160],{"categories":7058},[234],{"categories":7060},[160],{"categories":7062},[160],{"categories":7064},[220],{"categories":7066},[237],{"categories":7068},[345],{"categories":7070},[160],{"categories":7072},[160],{"categories":7074},[160],{"categories":7076},[160],{"categories":7078},[220],{"categories":7080},[],{"categories":7082},[220],{"categories":7084},[259],{"categories":7086},[160],{"categories":7088},[220],{"categories":7090},[220],{"categories":7092},[160],{"categories":7094},[],{"categories":7096},[259],{"categories":7098},[234],{"categories":7100},[3432],{"categories":7102},[210],{"categories":7104},[234],{"categories":7106},[160],{"categories":7108},[220],{"categories":7110},[160],{"categories":7112},[160],{"categories":7114},[345],{"categories":7116},[234],{"categories":7118},[237],{"categories":7120},[],{"categories":7122},[259],{"categories":7124},[160],{"categories":7126},[160],{"categories":7128},[],{"categories":7130},[220],{"categories":7132},[160],{"categories":7134},[160],{"categories":7136},[160],{"categories":7138},[160],{"categories":7140},[220],{"categories":7142},[160],{"categories":7144},[160],{"categories":7146},[160],{"categories":7148},[223],{"categories":7150},[160],{"categories":7152},[220],{"categories":7154},[160],{"categories":7156},[160],{"categories":7158},[160],{"categories":7160},[160],{"categories":7162},[160],{"categories":7164},[160],{"categories":7166},[160],{"categories":7168},[215],{"categories":7170},[],{"categories":7172},[223],{"categories":7174},[160],{"categories":7176},[259],{"categories":7178},[220],{"categories":7180},[160],{"categories":7182},[234],{"categories":7184},[],{"categories":7186},[234],{"categories":7188},[234],{"categories":7190},[220],{"categories":7192},[234],{"categories":7194},[160],{"categories":7196},[160],{"categories":7198},[160],{"categories":7200},[220],{"categories":7202},[234],{"categories":7204},[160],{"categories":7206},[160],{"categories":7208},[160],{"categories":7210},[220],{"categories":7212},[259],{"categories":7214},[160],{"categories":7216},[160],{"categories":7218},[160],{"categories":7220},[215],{"categories":7222},[160],{"categories":7224},[220],{"categories":7226},[314],{"categories":7228},[],{"categories":7230},[160],{"categories":7232},[160],{"categories":7234},[237],{"categories":7236},[160],{"categories":7238},[220],{"categories":7240},[160],{"categories":7242},[160],{"categories":7244},[],{"categories":7246},[160],{"categories":7248},[160],{"categories":7250},[259],{"categories":7252},[160],{"categories":7254},[160],{"categories":7256},[220],{"categories":7258},[345],{"categories":7260},[],{"categories":7262},[],{"categories":7264},[234],{"categories":7266},[160],{"categories":7268},[160],{"categories":7270},[259],{"categories":7272},[160],{"categories":7274},[234],{"categories":7276},[259],{"categories":7278},[160],{"categories":7280},[160],{"categories":7282},[345],{"categories":7284},[237],{"categories":7286},[160],{"categories":7288},[160],{"categories":7290},[210],{"categories":7292},[220],{"categories":7294},[160],{"categories":7296},[160],{"categories":7298},[220],{"categories":7300},[215],{"categories":7302},[220],{"categories":7304},[234],{"categories":7306},[160],{"categories":7308},[215],{"categories":7310},[],{"categories":7312},[160],{"categories":7314},[237],{"categories":7316},[160],{"categories":7318},[160],{"categories":7320},[],{"categories":7322},[259],{"categories":7324},[160],{"categories":7326},[220],{"categories":7328},[237],{"categories":7330},[160],{"categories":7332},[234],{"categories":7334},[234],{"categories":7336},[234],{"categories":7338},[160],{"categories":7340},[220],{"categories":7342},[220],{"categories":7344},[160],{"categories":7346},[220],{"categories":7348},[160],{"categories":7350},[160],{"categories":7352},[314],{"categories":7354},[237],{"categories":7356},[237],{"categories":7358},[],{"categories":7360},[259],{"categories":7362},[160],{"categories":7364},[160],{"categories":7366},[234],{"categories":7368},[],{"categories":7370},[259],{"categories":7372},[259],{"categories":7374},[259],{"categories":7376},[],{"categories":7378},[220],{"categories":7380},[160],{"categories":7382},[],{"categories":7384},[210],{"categories":7386},[215],{"categories":7388},[],{"categories":7390},[160],{"categories":7392},[160],{"categories":7394},[],{"categories":7396},[234],{"categories":7398},[],{"categories":7400},[],{"categories":7402},[],{"categories":7404},[],{"categories":7406},[160],{"categories":7408},[259],{"categories":7410},[],{"categories":7412},[],{"categories":7414},[160],{"categories":7416},[160],{"categories":7418},[160],{"categories":7420},[237],{"categories":7422},[160],{"categories":7424},[237],{"categories":7426},[],{"categories":7428},[237],{"categories":7430},[237],{"categories":7432},[386],{"categories":7434},[220],{"categories":7436},[234],{"categories":7438},[],{"categories":7440},[],{"categories":7442},[237],{"categories":7444},[234],{"categories":7446},[234],{"categories":7448},[234],{"categories":7450},[],{"categories":7452},[210],{"categories":7454},[234],{"categories":7456},[234],{"categories":7458},[210],{"categories":7460},[234],{"categories":7462},[215],{"categories":7464},[234],{"categories":7466},[234],{"categories":7468},[234],{"categories":7470},[237],{"categories":7472},[259],{"categories":7474},[259],{"categories":7476},[160],{"categories":7478},[234],{"categories":7480},[237],{"categories":7482},[386],{"categories":7484},[237],{"categories":7486},[237],{"categories":7488},[237],{"categories":7490},[],{"categories":7492},[215],{"categories":7494},[],{"categories":7496},[386],{"categories":7498},[234],{"categories":7500},[234],{"categories":7502},[234],{"categories":7504},[220],{"categories":7506},[259,215],{"categories":7508},[237],{"categories":7510},[],{"categories":7512},[],{"categories":7514},[237],{"categories":7516},[],{"categories":7518},[237],{"categories":7520},[259],{"categories":7522},[220],{"categories":7524},[],{"categories":7526},[234],{"categories":7528},[160],{"categories":7530},[314],{"categories":7532},[],{"categories":7534},[160],{"categories":7536},[],{"categories":7538},[259],{"categories":7540},[210],{"categories":7542},[237],{"categories":7544},[],{"categories":7546},[234],{"categories":7548},[259],[7550,7775,7879,7949],{"id":7551,"title":7552,"ai":7553,"body":7559,"categories":7743,"created_at":161,"date_modified":161,"description":151,"extension":162,"faq":161,"featured":163,"kicker_label":161,"meta":7744,"navigation":184,"path":7761,"published_at":7762,"question":161,"scraped_at":7763,"seo":7764,"sitemap":7765,"source_id":7766,"source_name":7767,"source_type":7768,"source_url":7769,"stem":7770,"tags":7771,"thumbnail_url":161,"tldr":7772,"tweet":161,"unknown_tags":7773,"__hash__":7774},"summaries\u002Fsummaries\u002Fa227d27aab2bd127-rtx-5090-vs-mac-studio-vs-dgx-spark-local-ai-stack-summary.md","RTX 5090 vs Mac Studio vs DGX Spark: Local AI Stack Guide",{"provider":7,"model":7554,"input_tokens":7555,"output_tokens":7556,"processing_time_ms":7557,"cost_usd":7558},"x-ai\u002Fgrok-4.1-fast",8702,2919,58893,0.0031774,{"type":14,"value":7560,"toc":7736},[7561,7565,7568,7571,7577,7581,7584,7604,7607,7610,7615,7619,7622,7647,7650,7653,7658,7662,7669,7672,7692,7695,7698,7703,7707],[17,7562,7564],{"id":7563},"agents-demand-local-ownership-not-cloud-dependence","Agents Demand Local Ownership, Not Cloud Dependence",[22,7566,7567],{},"AI agents revive personal computing by needing access to files, folders, processes, and local state—tasks like inspecting repos, editing spreadsheets, or recalling meeting decisions thrive on proximity to your messy, private context. Cloud models excel at frontier tasks but falter on personal workflows without custom harnesses tying them to local storage, as enterprises do with Azure\u002FAWS. The shift isn't local vs. cloud; it's a routing decision where you own the substrate (hardware, runtime, memory) to compound institutional knowledge. Leaders renting memory from apps lose it on tab close; owners build durable advantage.",[22,7569,7570],{},"Nate Jones tested RTX 5090, Mac Studio, and DGX Spark, rejecting a 'one universal answer' for hardware. Instead, match to workloads: knowledge workers prioritize memory\u002Fsimplicity (Mac), builders need throughput (Nvidia). He warns against buying for benchmarks—give the box a daily job first. Open-weight models like Llama 4 Scout\u002FMaverick (MoE for efficient firing), OpenAI's GPT-OSS-20B\u002F120B (reasoning under Apache 2.0), Qwen (agents\u002Fcoding\u002Fmultilingual), Gemma 4 (small\u002Fpermissive), and Mistral enable this now, evolving fast enough for swappable stacks.",[7572,7573,7574],"blockquote",{},[22,7575,7576],{},"'The more useful the agent becomes, the more it starts reaching back toward the oldest primitives of computing, files and processes and permissions and memory and local state.' (Jones explains why agents pull compute local, contrasting 15 years of cloud disappearance.)",[17,7578,7580],{"id":7579},"hardware-tradeoffs-memory-first-then-throughput","Hardware Tradeoffs: Memory First, Then Throughput",[22,7582,7583],{},"Memory is the system's heart—most botch pipelines by ignoring data-specific handling (e.g., PDFs vs. markdown transcripts). Jones compared:",[31,7585,7586,7592,7598],{},[34,7587,7588,7591],{},[26,7589,7590],{},"Mac Studio (M-series, 128-512GB unified memory)",": Wins for knowledge workers with private RAG, writing, coding assistance, audio transcription. Low noise\u002Fpower, feels like a 'computer, not a project.' M4 Pro Mac Mini (64GB) starts cheap; scales to 512GB for long-context personal memory. Tradeoff: Lower tensor throughput than Nvidia.",[34,7593,7594,7597],{},[26,7595,7596],{},"Dual RTX 5090 (64GB GDDR7 total)",": CUDA ecosystem speed for coding agents\u002Fheavy inference. Excellent bandwidth, but fragmented memory pool requires sharding\u002Fdrivers\u002Fheat\u002Fmaintenance. Not unified like Mac.",[34,7599,7600,7603],{},[26,7601,7602],{},"DGX Spark (Grace Blackwell, 128GB coherent memory)",": Appliance-packaged Nvidia stack for local inference\u002Ffine-tuning without tower-building. Beats custom rigs in software integration; tradeoff is premium cost vs. raw parts.",[22,7605,7606],{},"Other: AMD Strix Halo (value, immature software). Rule: Buy for daily runs—unified memory\u002Fstorage\u002FDB for docs\u002Fmeetings; CUDA for agents. Jones profiles buyers: knowledge worker (Mac), maximalist (high-end unified), builder (Nvidia).",[22,7608,7609],{},"No single winner; he tried all three, favoring workload fit over max model size. Cloud remains 'visitor' for frontier fallbacks.",[7572,7611,7612],{},[22,7613,7614],{},"'Don't buy for the biggest model you read about. Buy the thing you're going to run daily.' (Jones on avoiding hardware hype, tested across RTX 5090, Mac Studio, DGX Spark.)",[17,7616,7618],{"id":7617},"runtime-and-models-swappable-layers-over-appliances","Runtime and Models: Swappable Layers Over Appliances",[22,7620,7621],{},"Runtime bridges hardware to usability—underestimated, it turns local AI from 'weekend tax' to seamless tool. Foundation: llama.cpp (GGUF format, cross-platform: CPU\u002FMetal\u002FCUDA\u002FVulkan). Defaults:",[31,7623,7624,7630,7636,7642],{},[34,7625,7626,7629],{},[26,7627,7628],{},"Ollama",": Daily driver—CLI\u002Fserver, OpenAI-compatible API, simple registry. Makes local feel like cloud.",[34,7631,7632,7635],{},[26,7633,7634],{},"LM Studio",": Model testing\u002Fquantization workbench.",[34,7637,7638,7641],{},[26,7639,7640],{},"MLX",": Apple-native performance.",[34,7643,7644,7646],{},[26,7645,168],{},": Nvidia serving (batching\u002Fthroughput for teams); scales to SG Lang\u002FTensorRT-LLM\u002FNeMo for agents\u002Flatency.",[22,7648,7649],{},"Models as portfolio, not singleton: Fast cheap (generalist), coding (autocomplete\u002Frepo-aware\u002Freasoning), embeddings (Qwen for semantic retrieval), speech (local Whisper—'underrated now'), vision (doc screenshots\u002Fcharts). Embeddings stay local for privacy—cheap\u002Feasy to cache. Runtime health makes swaps painless; brittle ones force migrations.",[22,7651,7652],{},"Cloud coding agents (Codex\u002FCloud Code) interact with local tools\u002Frepos, but own runtime to avoid dependence.",[7572,7654,7655],{},[22,7656,7657],{},"'The personal AI computer should not be a sealed box that does one trick. It should be a place where the rest of AI can connect to the rest of computing.' (Jones on durable, evolvable stacks vs. model appliances.)",[17,7659,7661],{"id":7660},"memory-and-retrieval-durable-substrate-beats-stateless-models","Memory and Retrieval: Durable Substrate Beats Stateless Models",[22,7663,7664,7665,7668],{},"Models are stateless; life isn't—durable memory (notes\u002Fdocs\u002Ftranscripts\u002Ftasks\u002Fcode prefs\u002Fprojects) is highest-leverage decision. Own it, don't rent from providers. Jones built ",[26,7666,7667],{},"Open Brain"," (open-source GitHub: SQL DB + MCP server + embeddings for hybrid Karpathy-style interlinked vectors + fact categorization). Handles chunking\u002Fretrieval classification.",[22,7670,7671],{},"Alternatives:",[31,7673,7674,7680,7686],{},[34,7675,7676,7679],{},[26,7677,7678],{},"Obsidian\u002Fmarkdown + Git",": 'Boring immortal' for docs.",[34,7681,7682,7685],{},[26,7683,7684],{},"Postgres\u002Fpgvector",": Relational + vectors\u002Fmetadata\u002Fpermissions.",[34,7687,7688,7691],{},[26,7689,7690],{},"SQLite-vec",": Lightweight single-file backup.",[22,7693,7694],{},"Retrieval pitfalls: Not 'chunk everything'—tailor to data (transcripts ≠ PDFs). Cumulative but auditable memory inverts cloud model: You own source, models visit.",[22,7696,7697],{},"Workflows: Personal RAG\u002Fprivate coding loops\u002Fmeeting capture (no audio leaves machine)\u002Fvoice interfaces. Unify via 'interface principle': Many surfaces (editor\u002Fnotes\u002Fbrowser\u002Fvoice) on one runtime\u002Fmemory stack.",[7572,7699,7700],{},[22,7701,7702],{},"'Leaders renting their memory layer from proprietary apps will lose their institutional knowledge the moment they close the tab—the compounding advantage goes to those who own the substrate.' (Jones on core thesis, contrasting cloud visitors vs. local owners.)",[17,7704,7706],{"id":7705},"key-takeaways","Key Takeaways",[31,7708,7709,7712,7715,7718,7721,7724,7727,7730,7733],{},[34,7710,7711],{},"Profile your workload first: Knowledge (Mac\u002Funified memory), coding\u002Fbuilding (Nvidia\u002FCUDA), experiment with existing hardware.",[34,7713,7714],{},"Start runtime with Ollama + llama.cpp for OpenAI-compatible local serving; scale to vLLM\u002FMLX as needed.",[34,7716,7717],{},"Build model cabinet: Generalist + coding + embeddings (Qwen) + Whisper\u002Fvision; swap via healthy runtime.",[34,7719,7720],{},"Prioritize owned memory: Open Brain\u002FSQLite-vec\u002Fpgvector for private, data-tailored RAG—embeddings stay local.",[34,7722,7723],{},"Route cloud as visitor: Use for frontier, but unify interfaces (voice\u002Fnotes\u002Fetc.) on local stack for compounding context.",[34,7725,7726],{},"Avoid: Benchmark appliances or single-model builds—focus evolvable substrate for agents touching files\u002Ftools.",[34,7728,7729],{},"Test pipelines: Different data needs custom chunking\u002Fretrieval, not generic dumping.",[34,7731,7732],{},"Entry: M4 Pro Mac Mini 64GB + Ollama for learning private search\u002Fwriting\u002Ftranscription.",[34,7734,7735],{},"Principle: Collapse distance between model and work, echoing personal computers beating time-sharing mainframes.",{"title":151,"searchDepth":152,"depth":152,"links":7737},[7738,7739,7740,7741,7742],{"id":7563,"depth":152,"text":7564},{"id":7579,"depth":152,"text":7580},{"id":7617,"depth":152,"text":7618},{"id":7660,"depth":152,"text":7661},{"id":7705,"depth":152,"text":7706},[160],{"content_references":7745,"triage":7759},[7746,7751,7752,7754,7755],{"type":7747,"title":7748,"author":7749,"url":7750,"context":170},"other","Personal AI Computer Stack","Nate B Jones","https:\u002F\u002Fnatesnewsletter.substack.com\u002Fp\u002Fpersonal-ai-computer-stack?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true",{"type":167,"title":7667,"author":7749,"context":170},{"type":167,"title":7753,"context":178},"llama.cpp",{"type":167,"title":7628,"context":170},{"type":7756,"title":7757,"author":7749,"url":7758,"context":178},"podcast","AI News & Strategy Daily with Nate B. Jones","https:\u002F\u002Fpodcasts.apple.com\u002Fus\u002Fpodcast\u002Fai-news-strategy-daily-with-nate-b-jones\u002Fid1877109372",{"relevance":180,"novelty":181,"quality":181,"actionability":181,"composite":182,"reasoning":7760},"Category: AI & LLMs. The article provides a detailed comparison of hardware options for building AI-powered products, addressing the audience's need for practical guidance on selecting the right tools for their workflows. It emphasizes the importance of local ownership and memory management, which are critical considerations for developers and founders building AI applications.","\u002Fsummaries\u002Fa227d27aab2bd127-rtx-5090-vs-mac-studio-vs-dgx-spark-local-ai-stack-summary","2026-05-01 14:01:13","2026-05-03 16:39:38",{"title":7552,"description":151},{"loc":7761},"690fcc64d29c9d4e","AI News & Strategy Daily | Nate B Jones","article","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=iUSdS-6uwr4","summaries\u002Fa227d27aab2bd127-rtx-5090-vs-mac-studio-vs-dgx-spark-local-ai-stack-summary",[196,197,199],"Build a personal AI computer as a routing system owning memory and runtime—prioritize unified memory for knowledge work (Mac Studio), CUDA speed for builders (RTX 5090\u002FDGX Spark), with Ollama runtime and durable memory like Open Brain to compound private context over cloud rentals.",[199],"bR3o8JBkGviQtqxG502trcQZ7uJDidWduPaIBKq7FKQ",{"id":7776,"title":7777,"ai":7778,"body":7783,"categories":7837,"created_at":161,"date_modified":161,"description":151,"extension":162,"faq":161,"featured":163,"kicker_label":161,"meta":7838,"navigation":184,"path":7866,"published_at":7867,"question":161,"scraped_at":7868,"seo":7869,"sitemap":7870,"source_id":7871,"source_name":7872,"source_type":7768,"source_url":7873,"stem":7874,"tags":7875,"thumbnail_url":161,"tldr":7876,"tweet":161,"unknown_tags":7877,"__hash__":7878},"summaries\u002Fsummaries\u002F352a655761b08b28-35b-models-on-rtx-4090-turboquant-kv-compression-u-summary.md","35B Models on RTX 4090: TurboQuant KV Compression Unlocks 32K Context",{"provider":7,"model":7554,"input_tokens":7779,"output_tokens":7780,"processing_time_ms":7781,"cost_usd":7782},6914,2052,13171,0.00190195,{"type":14,"value":7784,"toc":7831},[7785,7789,7792,7796,7799,7803,7809,7815,7821,7824,7828],[17,7786,7788],{"id":7787},"q4_k_m-quantization-delivers-90-95-quality-at-60-original-size","Q4_K_M Quantization Delivers 90-95% Quality at 60% Original Size",[22,7790,7791],{},"Q4_K_M GGUF compresses model weights to ~0.6 GB per billion parameters (7B → 4GB, 32B → 19GB, 70B → 40GB) by storing weights in 4 bits with K-quant block grouping and M-medium mixed precision for sensitive layers. This preserves 90-95% of FP16 accuracy, making it the default for local runs on HuggingFace\u002FOllama. Dense 35B models need 21-22GB VRAM for weights alone on RTX 4090 (24GB total), leaving ~2GB for KV cache—insufficient beyond short contexts. MoE 35B (e.g., Qwen2.5-35B-A3B) activates only 3B params\u002Ftoken, fitting in ~20GB with 1.2GB KV at 64K context due to fewer active heads, reducing TurboQuant's necessity.",[17,7793,7795],{"id":7794},"turboquant-stacks-on-weights-for-long-context-memory-wins","TurboQuant Stacks on Weights for Long-Context Memory Wins",[22,7797,7798],{},"TurboQuant compresses KV cache to 2-4 bits at inference (PolarQuant + QJL, e.g., bits=3) without touching weights, enabling dense models like Mistral Small 3.1 24B or Qwen2.5-32B (64 layers, 8 GQA heads, head_dim=128) to handle 32K context on 24GB VRAM. Formula: 2 × layers × heads × head_dim × seq_len × bytes\u002Felement. Without it, 16K context KV hits ~4GB (total ~24GB borderline); with turbo3, drops to ~1.2GB, freeing space for 32K (~2.4GB). Fused Triton kernels compute attention on compressed KV, speeding up >8K contexts (major at 32K+). Asymmetric K@3bits\u002FV@2bits saves more with zero quality loss empirically.",[17,7800,7802],{"id":7801},"three-paths-to-turboquant-on-24gb-gpus-today","Three Paths to TurboQuant on 24GB GPUs Today",[22,7804,7805,7808],{},[26,7806,7807],{},"PyPI turboquant-kv",": Wrap HF Transformers (load_in_4bit) with TurboQuantModel(bits=3).enable_decoder_fused_attention() for Python scripts; handles 512+ new tokens on long inputs.",[22,7810,7811,7814],{},[26,7812,7813],{},"vLLM fork (0xSero\u002Fturboquant)",": install_turboquant_vllm(bits=3, head_dim=128) before LLM(model, gpu_memory_utilization=0.92); prebuilt codebooks for d=128\u002F256 at 2\u002F3\u002F4 bits; server-friendly.",[22,7816,7817,7820],{},[26,7818,7819],{},"llama.cpp fork (turboquant_plus)",": Build with CUDA, run llama-server -m model-Q4_K_M.gguf --cache-type-k turbo3 --cache-type-v turbo2 -c 32768 -ngl 99. Turbo4 ≈ q8_0 quality, turbo3 best tradeoff, turbo2 extreme. Fits 32K on Qwen2.5-32B (19GB weights + \u003C4GB KV).",[22,7822,7823],{},"Quality holds ≥8B models; speedups context-dependent (\u003C2K: memory only). Experimental—await Google impl (Q2-Q3 2026), llama.cpp #20969, vLLM #38171 merges.",[17,7825,7827],{"id":7826},"optimal-stack-q4_k_m-gguf-turboquant_plus-turbo32","Optimal Stack: Q4_K_M GGUF + turboquant_plus turbo3\u002F2",[22,7829,7830],{},"Download Q4_K_M GGUF, use llama.cpp fork at 16-32K context. Achieves reliable 35B dense inference where defaults crash; 128K impossible (KV still GBs post-compression).",{"title":151,"searchDepth":152,"depth":152,"links":7832},[7833,7834,7835,7836],{"id":7787,"depth":152,"text":7788},{"id":7794,"depth":152,"text":7795},{"id":7801,"depth":152,"text":7802},{"id":7826,"depth":152,"text":7827},[160],{"content_references":7839,"triage":7864},[7840,7843,7846,7850,7852,7855,7858,7861],{"type":7747,"title":7841,"url":7842,"context":178},"GGUF","https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Fhub\u002Fgguf",{"type":7747,"title":7844,"url":7845,"context":178},"AWQ","https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Ftransformers\u002Fquantization\u002Fawq",{"type":7747,"title":7847,"url":7848,"context":7849},"VRAM Requirements for AI Models","https:\u002F\u002Fwillitrunai.com\u002Fblog\u002Fvram-requirements-for-ai-models","cited",{"type":167,"title":7851,"context":170},"turboquant-kv",{"type":167,"title":7853,"url":7854,"context":170},"0xSero\u002Fturboquant","https:\u002F\u002Fgithub.com\u002F0xSero\u002Fturboquant.git",{"type":167,"title":7856,"url":7857,"context":170},"turboquant_plus","https:\u002F\u002Fgithub.com\u002FTheTom\u002Fturboquant_plus.git",{"type":7747,"title":7859,"url":7860,"context":178},"llama.cpp discussion #20969","https:\u002F\u002Fgithub.com\u002Fggml-org\u002Fllama.cpp\u002Fdiscussions\u002F20969",{"type":7747,"title":7862,"url":7863,"context":178},"vLLM issue #38171","https:\u002F\u002Fgithub.com\u002Fvllm-project\u002Fvllm\u002Fissues\u002F38171",{"relevance":180,"novelty":181,"quality":181,"actionability":181,"composite":182,"reasoning":7865},"Category: AI & LLMs. The article provides in-depth technical insights on running large language models efficiently, addressing the pain point of integrating AI features into products. It offers specific implementation paths for using TurboQuant, which is actionable for developers looking to optimize AI model performance.","\u002Fsummaries\u002F352a655761b08b28-35b-models-on-rtx-4090-turboquant-kv-compression-u-summary","2026-04-15 12:31:01","2026-04-15 15:39:14",{"title":7777,"description":151},{"loc":7866},"352a655761b08b28","Towards AI","https:\u002F\u002Fpub.towardsai.net\u002Frunning-a-35b-model-locally-with-turboquant-whats-actually-possible-right-now-1ac5327430b0?source=rss----98111c9905da---4","summaries\u002F352a655761b08b28-35b-models-on-rtx-4090-turboquant-kv-compression-u-summary",[196,197,198],"Stack Q4_K_M weight quantization with TurboQuant's 3-bit KV cache compression to run dense 35B models at 32K context on 24GB VRAM, fitting weights (20GB) + KV cache (under 4GB) with room to spare—use llama.cpp forks today.",[],"sGRm9blteDamXpWHWdqmPUk1Seq5Nct_nBmywP1bFT0",{"id":7880,"title":7881,"ai":7882,"body":7887,"categories":7928,"created_at":161,"date_modified":161,"description":151,"extension":162,"faq":161,"featured":163,"kicker_label":161,"meta":7929,"navigation":184,"path":7936,"published_at":7937,"question":161,"scraped_at":7938,"seo":7939,"sitemap":7940,"source_id":7941,"source_name":7942,"source_type":7768,"source_url":7943,"stem":7944,"tags":7945,"thumbnail_url":161,"tldr":7946,"tweet":161,"unknown_tags":7947,"__hash__":7948},"summaries\u002Fsummaries\u002Fe29a0c4c1fa56a93-free-local-llms-for-coding-ollama-opencode-on-wind-summary.md","Free Local LLMs for Coding: Ollama + OpenCode on Windows",{"provider":7,"model":7554,"input_tokens":7883,"output_tokens":7884,"processing_time_ms":7885,"cost_usd":7886},3865,1651,14192,0.00157585,{"type":14,"value":7888,"toc":7923},[7889,7893,7905,7909,7916,7920],[17,7890,7892],{"id":7891},"quick-local-llm-setup-cuts-cloud-dependency","Quick Local LLM Setup Cuts Cloud Dependency",[22,7894,7895,7896,7900,7901,7904],{},"Download Ollama directly from ollama.com\u002Fdownload and install it on Windows. This gives you a local server for running open LLMs without API fees or internet reliance, ideal for private coding sessions. Post-install, open Command Prompt (search 'cmd') to verify: ",[7897,7898,7899],"code",{},"ollama list"," shows available models—expect an empty list on first run. Use ",[7897,7902,7903],{},"ollama ps"," anytime to monitor running models and their GPU\u002FCPU usage, helping you track resource demands before scaling to larger models.",[17,7906,7908],{"id":7907},"launch-recommended-model-for-coding","Launch Recommended Model for Coding",[22,7910,7911,7912,7915],{},"Run ",[7897,7913,7914],{},"ollama run qwen3.5:9b"," to download and start Qwen 3.5-9B if absent (Ollama handles this automatically). The author favors this 9B-parameter model for its balance of speed and coding capability on consumer hardware, outperforming heavier options like Llama without needing high-end GPUs. Once loaded, it serves as the backend for tools like OpenCode, enabling autocomplete, refactoring, and debugging directly in your editor—pair it with OpenCode to unlock free, offline AI coding workflows.",[17,7917,7919],{"id":7918},"monitor-and-access-via-app","Monitor and Access via App",[22,7921,7922],{},"Beyond CLI, launch the Ollama desktop app by searching 'ollama' or right-clicking its taskbar icon. This GUI simplifies model management, switching, and usage stats, making it easier for repeated sessions. Trade-off: Initial downloads take time and disk space (Qwen 3.5-9B is several GB), but runtime inference stays fast locally. This stack delivers production-ready AI coding without subscriptions, though expect quantization limits on very large models without tweaks.",{"title":151,"searchDepth":152,"depth":152,"links":7924},[7925,7926,7927],{"id":7891,"depth":152,"text":7892},{"id":7907,"depth":152,"text":7908},{"id":7918,"depth":152,"text":7919},[160],{"content_references":7930,"triage":7933},[7931],{"type":167,"title":7628,"url":7932,"context":170},"https:\u002F\u002Follama.com\u002Fdownload",{"relevance":180,"novelty":181,"quality":181,"actionability":180,"composite":7934,"reasoning":7935},4.55,"Category: AI & LLMs. The article provides a detailed guide on setting up a local LLM for coding, addressing the pain point of avoiding cloud costs while enabling practical AI coding assistance. It includes specific commands and steps for installation and usage, making it immediately actionable for developers.","\u002Fsummaries\u002Fe29a0c4c1fa56a93-free-local-llms-for-coding-ollama-opencode-on-wind-summary","2026-04-13 14:30:59","2026-04-13 17:53:01",{"title":7881,"description":151},{"loc":7936},"e29a0c4c1fa56a93","Generative AI","https:\u002F\u002Fgenerativeai.pub\u002Ffree-ai-coding-with-opencode-ollama-on-windows-aab1510e1978?source=rss----440100e76000---4","summaries\u002Fe29a0c4c1fa56a93-free-local-llms-for-coding-ollama-opencode-on-wind-summary",[196,197,199],"Install Ollama on Windows to run Qwen 3.5-9B locally—author's top pick for free AI coding assistance via OpenCode, avoiding cloud costs.",[199],"sTV5kHTmZ86Km9C84cSUq2ip0SN2ANtNKUv3fGBU2U0",{"id":7950,"title":7951,"ai":7952,"body":7957,"categories":8003,"created_at":161,"date_modified":161,"description":151,"extension":162,"faq":161,"featured":163,"kicker_label":161,"meta":8004,"navigation":184,"path":8005,"published_at":8006,"question":161,"scraped_at":161,"seo":8007,"sitemap":8008,"source_id":8009,"source_name":8010,"source_type":7768,"source_url":8011,"stem":8012,"tags":8013,"thumbnail_url":161,"tldr":8014,"tweet":161,"unknown_tags":8015,"__hash__":8016},"summaries\u002Fsummaries\u002Fbattle-tested-go-to-ai-tools-2026-update-summary.md","Battle-Tested Go-To AI Tools (2026 Update)",{"provider":7,"model":7554,"input_tokens":7953,"output_tokens":7954,"processing_time_ms":7955,"cost_usd":7956},6410,1740,15994,0.00212935,{"type":14,"value":7958,"toc":7998},[7959,7963,7966,7969,7973,7976,7979,7982,7985,7989,7992,7995],[17,7960,7962],{"id":7961},"prioritize-llms-by-task-for-reliable-output","Prioritize LLMs by Task for Reliable Output",[22,7964,7965],{},"Select LLMs based on input size, creativity needs, and execution: Free Claude 4.5 Sonnet delivers fresh, unconventional ideas for brainstorming plus Artifacts for prototyping AI apps, despite message limits. Gemini 3 Pro processes huge token windows with native audio\u002Fvideo for long, multimodal files. GPT-5.2 handles everyday chats via ChatGPT's all-in-one free package (web access, voice, images). For paid power, Claude 4.6 Opus drives Claude Code to execute natural-language requests into code\u002Factions; OpenAI o3 structures research in tables while GPT-5.2 Thinking leads benchmarks—use o3 for formatted insights despite minor benchmark gaps.",[22,7967,7968],{},"Trade-offs: Free tiers limit volume but suffice for routine; paid unlocks heavy lifting like coding\u002Fresearch without interruptions.",[17,7970,7972],{"id":7971},"visual-generation-leaders-detail-style-and-motion","Visual Generation Leaders: Detail, Style, and Motion",[22,7974,7975],{},"For images, free Gemini 3 Pro (Nano Banana Pro) preserves details in edits; GPT Image 1.5 renders full text pages contextually (free quotas on ChatGPT\u002FCopilot); Grok Imagine surprises with solid free output. Paid Midjourney V7 specializes in artistic aesthetics and photography despite lagging on text\u002Fprompt benchmarks—explore styles iteratively.",[22,7977,7978],{},"Video advances fastest: Free Grok Imagine tops text-to-video\u002Fimage-to-video leaderboards with generous quotas. Paid Sora 2 generates audio-synced clips via varied prompts (avoid its social app interface); Veo 3.1 produces lifelike motion with speech\u002Feffects, enhanced by Flow for pro filmmaking.",[22,7980,7981],{},"AI music stays interchangeable for casual use—free Suno (best audio\u002Ffeatures), Producer (ex-Riffusion), Udio offer similar quality\u002Fcredits; upgrade any for pro needs.",[22,7983,7984],{},"Outcomes: Free options match 80-90% of creative workflows; paid targets stylistic precision or production-scale video.",[17,7986,7988],{"id":7987},"streamline-research-and-productivity-with-grounded-agents","Streamline Research and Productivity with Grounded Agents",[22,7990,7991],{},"Research: Free NotebookLM synthesizes sources into slides\u002Finfographics (now with Gemini images\u002FData Tables); Learn About browses openly for exploration; Perplexity Pro bridges quick searches. Paid Perplexity Deep Research hits SOTA with Claude upgrades.",[22,7993,7994],{},"Productivity: Free Google AI Studio tests frontier models\u002Fvoice\u002Fcoding; Napkin auto-converts text to diagrams for non-designers. Paid Claude Code builds projects from prompts; Genspark Super Agent chains tools for multi-step tasks (free credits for trials).",[22,7996,7997],{},"Key insight: Ground tools in your data (NotebookLM) or chain agents (Genspark) to cut manual work—e.g., NotebookLM turns docs into visuals in minutes vs. hours of design.",{"title":151,"searchDepth":152,"depth":152,"links":7999},[8000,8001,8002],{"id":7961,"depth":152,"text":7962},{"id":7971,"depth":152,"text":7972},{"id":7987,"depth":152,"text":7988},[160],{},"\u002Fsummaries\u002Fbattle-tested-go-to-ai-tools-2026-update-summary","2026-04-08 21:21:17",{"title":7951,"description":151},{"loc":8005},"7394d91cdc447d45","Why Try AI","https:\u002F\u002Funknown","summaries\u002Fbattle-tested-go-to-ai-tools-2026-update-summary",[197,196,199],"Claude Sonnet\u002FOpus excels for creative brainstorming and code execution; Gemini handles massive multimodal inputs; GPT-5.2 powers daily chats; pair with Midjourney for art, Sora\u002FVeo for video, NotebookLM for research synthesis—free tiers cover most needs.",[199],"42y9a9PYFHhIM_muCfzH60zTV4Nj70FyAUbDm0kHPrQ"]