[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-aa67bf587bd0c123-getting-started-with-chatgpt-a-practical-guide-summary":3,"summaries-facets-categories":103,"summary-related-aa67bf587bd0c123-getting-started-with-chatgpt-a-practical-guide-summary":5735},{"id":4,"title":5,"ai":6,"body":13,"categories":61,"created_at":63,"date_modified":63,"description":56,"extension":64,"faq":63,"featured":65,"kicker_label":63,"meta":66,"navigation":86,"path":87,"published_at":88,"question":63,"scraped_at":88,"seo":89,"sitemap":90,"source_id":91,"source_name":92,"source_type":93,"source_url":94,"stem":95,"tags":96,"thumbnail_url":63,"tldr":100,"tweet":63,"unknown_tags":101,"__hash__":102},"summaries\u002Fsummaries\u002Faa67bf587bd0c123-getting-started-with-chatgpt-a-practical-guide-summary.md","Getting Started with ChatGPT: A Practical Guide",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",6368,540,2888,0.002402,{"type":14,"value":15,"toc":55},"minimark",[16,21,25,28,32,35,52],[17,18,20],"h2",{"id":19},"from-simple-prompts-to-repeatable-workflows","From Simple Prompts to Repeatable Workflows",[22,23,24],"p",{},"ChatGPT functions as a conversational assistant that leverages large language models to process natural language and generate real-time responses. The most effective way to begin is by applying the tool to tasks you already perform, such as drafting content, brainstorming, summarizing long documents, or organizing rough notes. These initial use cases are low-risk and provide immediate utility by reducing the time spent staring at a blank page.",[22,26,27],{},"As you identify tasks that repeat frequently or require multiple steps, you can transition from one-off prompts to more structured configurations. Features like Projects, custom GPTs, and Skills allow you to maintain consistent instructions and organize source materials, turning ad-hoc interactions into repeatable, high-quality workflows.",[17,29,31],{"id":30},"leveraging-voice-for-efficiency","Leveraging Voice for Efficiency",[22,33,34],{},"Voice features in ChatGPT are designed to increase speed and accessibility, particularly for brainstorming on the go or multitasking. The interface offers two primary modes:",[36,37,38,46],"ul",{},[39,40,41,45],"li",{},[42,43,44],"strong",{},"Voice Mode:"," Enables a two-way, real-time conversational experience where you talk and listen to the model.",[39,47,48,51],{},[42,49,50],{},"Dictation:"," Converts spoken words into text, allowing for immediate refinement within the chat window.",[22,53,54],{},"These voice interactions are stored in your chat history as both audio\u002Fvideo clips and transcriptions, ensuring that context is preserved for future reference.",{"title":56,"searchDepth":57,"depth":57,"links":58},"",2,[59,60],{"id":19,"depth":57,"text":20},{"id":30,"depth":57,"text":31},[62],"AI & LLMs",null,"md",false,{"content_references":67,"triage":80},[68,73,77],{"type":69,"title":70,"url":71,"context":72},"other","What is AI","https:\u002F\u002Fopenai.com\u002Facademy\u002Fwhat-is-ai\u002F","mentioned",{"type":69,"title":74,"url":75,"context":76},"Prompting guide","https:\u002F\u002Fopenai.com\u002Facademy\u002Fprompting\u002F","recommended",{"type":69,"title":78,"url":79,"context":72},"Voice Mode FAQ","https:\u002F\u002Fhelp.openai.com\u002Farticles\u002F8400625-voice-mode-faq",{"relevance":81,"novelty":82,"quality":83,"actionability":83,"composite":84,"reasoning":85},5,3,4,4.15,"Category: AI & LLMs. The article provides a practical guide on using ChatGPT for various tasks, addressing the audience's need for actionable insights on AI integration. It outlines specific use cases and features that can help users transition from simple prompts to structured workflows, making it highly relevant and actionable.",true,"\u002Fsummaries\u002Faa67bf587bd0c123-getting-started-with-chatgpt-a-practical-guide-summary","2026-07-16 13:33:34",{"title":5,"description":56},{"loc":87},"aa67bf587bd0c123","OpenAI News","article","https:\u002F\u002Fopenai.com\u002Facademy\u002Fgetting-started","summaries\u002Faa67bf587bd0c123-getting-started-with-chatgpt-a-practical-guide-summary",[97,98,99],"ai-tools","prompt-engineering","automation","ChatGPT is a conversational AI assistant designed to help with writing, brainstorming, and problem-solving. Success starts with simple chat-based tasks and evolves into structured workflows as you identify repeatable 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Codex analyzes variances from forecast, risks, CFO prep questions, and changes since last period, producing Word docs or updated PPTs\u002FPDFs with cited sources for every material number.",[22,5755,5756,5757,5761,5762,5765,5766,5769,5770,5773],{},"Core prompt structure: \"Prepare ",[5758,5759,5760],"span",{},"period"," ",[5758,5763,5764],{},"MBR\u002FCFO pack"," for ",[5758,5767,5768],{},"team\u002Fbusiness",". Use ",[5758,5771,5772],{},"list files\u002Fcontext",". Draft narrative\u002Fpack with key variances, changes since forecast, risks, questions, follow-ups. Cite tab\u002Fdashboard\u002Fnote for each number. Flag missing support or open items.\"",[22,5775,5776],{},"Customization: Specify audience, priority metrics, unchanged sections, and output format (e.g., Word doc named 'Monthly Business Review Narrative'). Plugins like Google Drive, SharePoint, Spreadsheets, Presentations, Slack, Teams, Gmail\u002FOutlook pull in files directly. Example for April Enterprise Sales MBR uses 'April Close Workbook.xlsx', 'April Revenue Dashboard', prior MBR deck, and #finance-close channel—outputs sourced narrative ready for owner review, saving hours on first drafts.",[22,5778,5779],{},"For packs: Refresh metrics, deltas, charts, commentary from latest KPI dashboard and forecast model; summarize changes and flag slides needing review. Do not invent metrics—unsupported numbers get flagged.",[17,5781,5783],{"id":5782},"clean-models-and-build-variance-bridges","Clean Models and Build Variance Bridges",[22,5785,5786],{},"Before leadership reviews, Codex audits workbooks for structure issues (hardcodes, broken links, circulars, sign errors, period labels, checks) and makes safe fixes while flagging business assumptions for owners. Outputs cleaned .xlsx plus QA memo ranked by severity, focusing on key tabs like Revenue Drivers, Headcount Plan, Cash Forecast.",[22,5788,5789,5790,5765,5793,5796,5797,5800],{},"Prompt: \"Clean\u002Freview ",[5758,5791,5792],{},"model",[5758,5794,5795],{},"audience",". Check ",[5758,5798,5799],{},"structure\u002Fformulas\u002Fetc.",". Make safe changes, flag assumptions. Return cleaned model + QA memo with risks, fixes, review needs.\"",[22,5802,5803],{},"Customization: Prioritize tabs, define safe changes. Example for FY27 Operating Plan pays special attention to Exec Summary tab.",[22,5805,5806,5807,5761,5809,5812,5813,5816,5817,5820],{},"For variances: Bridge actuals vs. budget\u002Fforecast across revenue, gross margin, opex, EBITDA, FCF, balance sheet using close books, trackers, dashboards. Reconciles breaks, drafts owner questions, cites drivers. Prompt: \"Explain ",[5758,5808,5760],{},[5758,5810,5811],{},"comparison"," variance. Use ",[5758,5814,5815],{},"files",". Build bridge across ",[5758,5818,5819],{},"lines",". Flag unsupported, cite sources.\" Example for April forecast-to-actual uses FY26 Budget.xlsx, March Forecast.xlsx, Opex Tracker—separates confirmed drivers from queries.",[17,5822,5824],{"id":5823},"refresh-forecasts-with-scenarios","Refresh Forecasts with Scenarios",[22,5826,5827],{},"Update operating\u002Fdriver models, headcount\u002Fcash plans against actuals and assumptions to build base\u002Fdownside\u002Fupside cases. Outputs scenarios with sensitivities, cash\u002Fhiring impacts, trigger points, recommendations, and approval lists—includes sensitivity tables.",[22,5829,5830,5831,5765,5834,5769,5837,5840],{},"Prompt: \"Refresh ",[5758,5832,5833],{},"plan",[5758,5835,5836],{},"business",[5758,5838,5839],{},"models\u002Factuals\u002Fnotes",". Create scenarios with drivers, impacts, triggers, rec. Include sensitivity table, flag assumptions.\"",[22,5842,5843],{},"Customization: Define scenarios, approval needs, leadership outputs. Example for FY27 Enterprise forecast uses Revenue Driver Model.xlsx, 13 Week Cash Forecast.xlsx, #fy27-planning notes—flags overwrites, summarizes implications. Plugins enable seamless spreadsheet\u002Fpresentation handling, turning weekly updates into minutes of prompting.",{"title":56,"searchDepth":57,"depth":57,"links":5845},[5846,5847,5848],{"id":5749,"depth":57,"text":5750},{"id":5782,"depth":57,"text":5783},{"id":5823,"depth":57,"text":5824},[114],{"content_references":5851,"triage":5861},[5852,5855,5858],{"type":69,"title":5853,"url":5854,"context":76},"Codex for everyday work on-demand webinar","https:\u002F\u002Facademy.openai.com\u002Fhome\u002Fclubs\u002Fwork-users-ynjqu\u002Fvideos\u002Fcodex-for-everyday-work-recording-2026-05-06",{"type":69,"title":5856,"url":5857,"context":76},"Codex for Work hub","https:\u002F\u002Fopenai.com\u002Facademy\u002Fcodex-for-work\u002F",{"type":69,"title":5859,"url":5860,"context":76},"Top 10 Codex for Work use cases","https:\u002F\u002Fopenai.com\u002Facademy\u002Ftop-10-use-cases-codex-for-work\u002F",{"relevance":81,"novelty":83,"quality":83,"actionability":81,"composite":5862,"reasoning":5863},4.55,"Category: AI Automation. The article provides a detailed explanation of how finance teams can leverage Codex for automating reporting and model cleanup, addressing a specific pain point of efficiency in finance workflows. It includes concrete examples of prompts and outputs, making it immediately actionable for users looking to implement these practices.","\u002Fsummaries\u002Fce943383d65893df-codex-prompts-automate-finance-reporting-and-model-summary","2026-05-13 12:01:01",{"title":5738,"description":56},{"loc":5864},"ce943383d65893df","https:\u002F\u002Fopenai.com\u002Facademy\u002Fhow-finance-teams-use-codex","summaries\u002Fce943383d65893df-codex-prompts-automate-finance-reporting-and-model-summary",[98,97,99],"Finance teams cut assembly time on MBR narratives, model cleanups, CFO packs, variance bridges, and forecasts by feeding Codex existing spreadsheets, dashboards, and notes via copy-paste prompts that cite sources and flag risks—no coding required.",[],"FATmC96IjW_7Yem-_VCsjtsksQHU1eDjoZccndvcfqQ",{"id":5876,"title":5877,"ai":5878,"body":5883,"categories":5911,"created_at":63,"date_modified":63,"description":56,"extension":64,"faq":63,"featured":65,"kicker_label":63,"meta":5912,"navigation":86,"path":5929,"published_at":5930,"question":63,"scraped_at":5931,"seo":5932,"sitemap":5933,"source_id":5934,"source_name":5935,"source_type":93,"source_url":5936,"stem":5937,"tags":5938,"thumbnail_url":63,"tldr":5939,"tweet":63,"unknown_tags":5940,"__hash__":5941},"summaries\u002Fsummaries\u002Fa053eba100035b82-chrome-skills-one-click-reusable-ai-prompts-across-summary.md","Chrome Skills: One-Click Reusable AI Prompts Across Tabs",{"provider":7,"model":5740,"input_tokens":5879,"output_tokens":5880,"processing_time_ms":5881,"cost_usd":5882},7929,1599,13439,0.0023628,{"type":14,"value":5884,"toc":5906},[5885,5889,5892,5896,5899,5903],[17,5886,5888],{"id":5887},"prompt-reuse-eliminates-tedious-re-entry-for-routine-tasks","Prompt Reuse Eliminates Tedious Re-Entry for Routine Tasks",[22,5890,5891],{},"Save any effective Gemini prompt directly from chat history as a named \"Skill,\" then invoke it with \u002F or + on any page. This creates browser-level prompt templating, mirroring developer practices with LLM API system prompts or few-shot examples but accessible via UI—no code required. For repeated operations like veganizing recipes or extracting nutritional data, Skills persist across sessions and devices when signed in, turning one-off queries into reliable workflows. Trade-off: Editing is manual, so refine prompts iteratively for precision.",[17,5893,5895],{"id":5894},"multi-tab-dispatch-powers-cross-page-analysis","Multi-Tab Dispatch Powers Cross-Page Analysis",[22,5897,5898],{},"Select multiple tabs, trigger a Skill, and it processes content across them simultaneously—like comparing product specs or gift options against budget. This leverages open tabs as a retrieval corpus with the Skill as the query template, akin to multi-document RAG pipelines. Early examples include protein macro calculations on recipes, side-by-side specs, and document scanning. Google's pre-built library offers starters for ingredient breakdowns or gift selection, which you customize by tweaking the prompt—accelerating setup for non-experts while echoing LangChain-style prompt libraries.",[17,5900,5902],{"id":5901},"security-gates-prevent-unintended-agent-actions","Security Gates Prevent Unintended Agent Actions",[22,5904,5905],{},"Skills inherit Chrome's protections: automated red-teaming, auto-updates, and user confirmation before high-risk steps like calendar adds or emails. This UX-layer solution tackles agentic pitfalls seen in frameworks like LangGraph or AutoGPT, where reusable workflows risk side effects. Manage Skills via \u002F then compass icon; available now on eligible desktops. Implication for builders: Browser-native agents could standardize prompt management, but confirmation prompts add a deliberate friction that prioritizes safety over speed in production-like use.",{"title":56,"searchDepth":57,"depth":57,"links":5907},[5908,5909,5910],{"id":5887,"depth":57,"text":5888},{"id":5894,"depth":57,"text":5895},{"id":5901,"depth":57,"text":5902},[148],{"content_references":5913,"triage":5926},[5914,5919,5922,5924],{"type":69,"title":5915,"author":5916,"url":5917,"context":5918},"Skills in Chrome","Google","https:\u002F\u002Fblog.google\u002Fproducts-and-platforms\u002Fproducts\u002Fchrome\u002Fskills-in-chrome\u002F","cited",{"type":5920,"title":5921,"context":72},"tool","LangChain",{"type":5920,"title":5923,"context":72},"LangGraph",{"type":5920,"title":5925,"context":72},"AutoGPT",{"relevance":81,"novelty":83,"quality":83,"actionability":83,"composite":5927,"reasoning":5928},4.35,"Category: AI Automation. The article discusses a new feature in Chrome that allows users to save and reuse AI prompts, which directly addresses the audience's need for practical AI tooling in product development. It provides specific examples of how this feature can streamline workflows, making it actionable for developers looking to integrate AI into their processes.","\u002Fsummaries\u002Fa053eba100035b82-chrome-skills-one-click-reusable-ai-prompts-across-summary","2026-04-15 03:54:17","2026-04-15 15:39:38",{"title":5877,"description":56},{"loc":5929},"a053eba100035b82","MarkTechPost","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F04\u002F14\u002Fgoogle-launches-skills-in-chrome-turning-reusable-ai-prompts-into-one-click-browser-workflows\u002F","summaries\u002Fa053eba100035b82-chrome-skills-one-click-reusable-ai-prompts-across-summary",[98,97,99],"Gemini in Chrome's new Skills feature saves prompts as named workflows for instant reuse on pages and multiple tabs, cutting re-entry friction for tasks like recipe analysis or spec comparisons—rolling out April 14, 2026, to English-US users on Mac, Windows, ChromeOS.",[],"BoBcipolHokoNZcbEFX2Ge-0CVsG-I_DuFVgv9ni-Qc",{"id":5943,"title":5944,"ai":5945,"body":5950,"categories":6028,"created_at":63,"date_modified":63,"description":56,"extension":64,"faq":63,"featured":65,"kicker_label":63,"meta":6029,"navigation":86,"path":6039,"published_at":6040,"question":63,"scraped_at":6040,"seo":6041,"sitemap":6042,"source_id":6043,"source_name":5935,"source_type":93,"source_url":6044,"stem":6045,"tags":6046,"thumbnail_url":63,"tldr":6048,"tweet":63,"unknown_tags":6049,"__hash__":6050},"summaries\u002Fsummaries\u002Facce0ac2f42e05d5-optimizing-llm-skills-with-microsoft-skillopt-summary.md","Optimizing LLM Skills with Microsoft SkillOpt",{"provider":7,"model":8,"input_tokens":5946,"output_tokens":5947,"processing_time_ms":5948,"cost_usd":5949},10872,653,4133,0.0036975,{"type":14,"value":5951,"toc":6024},[5952,5956,5959,5986,5989,5993,5996,6016],[17,5953,5955],{"id":5954},"the-skillopt-optimization-workflow","The SkillOpt Optimization Workflow",[22,5957,5958],{},"Microsoft SkillOpt automates the refinement of LLM-based skills by treating prompt optimization as an iterative training process. The workflow follows a structured loop:",[5960,5961,5962,5968,5974,5980],"ol",{},[39,5963,5964,5967],{},[42,5965,5966],{},"Rollout",": The target model executes the current skill against a dataset.",[39,5969,5970,5973],{},[42,5971,5972],{},"Reflection",": An optimizer model analyzes performance and identifies potential improvements.",[39,5975,5976,5979],{},[42,5977,5978],{},"Aggregation & Selection",": The system aggregates insights and selects the most effective modifications.",[39,5981,5982,5985],{},[42,5983,5984],{},"Update & Gate",": The skill is updated, and a validation-based gate ensures that only improvements meeting specific accuracy criteria are accepted.",[22,5987,5988],{},"This approach moves prompt engineering from manual trial-and-error to a reproducible, instrumented pipeline that tracks metrics like accuracy, token usage, and edit-budget behavior over time.",[17,5990,5992],{"id":5991},"implementation-and-evaluation","Implementation and Evaluation",[22,5994,5995],{},"The practical implementation involves setting up an OpenAI-compatible environment to manage the interaction between an optimizer model (e.g., GPT-4o) and a target model (e.g., GPT-4o-mini).",[36,5997,5998,6004,6010],{},[39,5999,6000,6003],{},[42,6001,6002],{},"Baseline Establishment",": Before optimization, the system evaluates the initial \"seed\" skill on an unseen validation split. This provides a hard-match accuracy baseline to quantify the eventual \"lift\" provided by the optimization process.",[39,6005,6006,6009],{},[42,6007,6008],{},"Training Dashboard",": By logging history to a JSON file, developers can visualize the evolution of the skill. Key metrics include training vs. validation accuracy, the application of learning rate schedules, and cumulative token costs.",[39,6011,6012,6015],{},[42,6013,6014],{},"Artifact Inspection",": The framework generates snapshots of the skill at each version, allowing for granular diff analysis. It also produces \"meta-skill\" and \"slow-update\" artifacts, which provide transparency into how the optimizer is modifying the prompt logic over epoch boundaries.",[22,6017,6018,6019,6023],{},"By comparing the final ",[6020,6021,6022],"code",{},"best_skill.md"," against the initial seed, developers can verify performance improvements and deploy the optimized artifact directly into production environments.",{"title":56,"searchDepth":57,"depth":57,"links":6025},[6026,6027],{"id":5954,"depth":57,"text":5955},{"id":5991,"depth":57,"text":5992},[62],{"content_references":6030,"triage":6037},[6031,6034],{"type":5920,"title":6032,"url":6033,"context":76},"Microsoft SkillOpt","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FSkillOpt",{"type":69,"title":6035,"url":6036,"context":76},"SkillOpt SearchQA Tutorial Notebook","https:\u002F\u002Fgithub.com\u002FMARKTECHPOST-AI-MEDIA-INC\u002FAI-Agents-Projects-Tutorials\u002Fblob\u002Fmain\u002FLLM%20Evaluation\u002Fmicrosoft_skillopt_prompt_optimization_Marktechpost.ipynb",{"relevance":81,"novelty":83,"quality":83,"actionability":83,"composite":5927,"reasoning":6038},"Category: AI & LLMs. The article provides a detailed overview of Microsoft SkillOpt, which automates the optimization of LLM skills through a structured workflow, addressing a specific pain point for developers in prompt engineering. It offers practical implementation steps and metrics for measuring performance, making it actionable for the target audience.","\u002Fsummaries\u002Facce0ac2f42e05d5-optimizing-llm-skills-with-microsoft-skillopt-summary","2026-06-11 12:57:13",{"title":5944,"description":56},{"loc":6039},"acce0ac2f42e05d5","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F06\u002F10\u002Fa-coding-implementation-on-microsoft-skillopt-for-instrumented-prompt-optimization-skill-evolution-analysis-and-baseline-comparison\u002F","summaries\u002Facce0ac2f42e05d5-optimizing-llm-skills-with-microsoft-skillopt-summary",[6047,98,97,99],"llm","Microsoft SkillOpt provides an automated pipeline to iteratively improve LLM prompt-based skills through a cycle of rollout, reflection, and validation, allowing developers to quantitatively measure performance gains against a baseline.",[],"jpyiYNvsMaxeU4rLYu4qmexBFypyCQ8FxQn-_IB1jqk",{"id":6052,"title":6053,"ai":6054,"body":6059,"categories":6126,"created_at":63,"date_modified":63,"description":56,"extension":64,"faq":63,"featured":65,"kicker_label":63,"meta":6127,"navigation":86,"path":6137,"published_at":6138,"question":63,"scraped_at":6138,"seo":6139,"sitemap":6140,"source_id":6141,"source_name":5935,"source_type":93,"source_url":6142,"stem":6143,"tags":6144,"thumbnail_url":63,"tldr":6145,"tweet":63,"unknown_tags":6146,"__hash__":6147},"summaries\u002Fsummaries\u002F0fe85ecc077c52e9-automating-prompt-optimization-with-gepa-reflectiv-summary.md","Automating Prompt Optimization with GEPA Reflective Evolution",{"provider":7,"model":8,"input_tokens":6055,"output_tokens":6056,"processing_time_ms":6057,"cost_usd":6058},8595,575,3203,0.00301125,{"type":14,"value":6060,"toc":6122},[6061,6065,6068,6097,6101,6119],[17,6062,6064],{"id":6063},"the-reflective-prompt-optimization-workflow","The Reflective Prompt Optimization Workflow",[22,6066,6067],{},"Manual prompt engineering is often a bottleneck in AI development. GEPA (General Evolutionary Prompt Architect) provides a framework to automate this process by treating prompt optimization as an evolutionary search. The process relies on three core pillars:",[36,6069,6070,6076,6091],{},[39,6071,6072,6075],{},[42,6073,6074],{},"Deterministic Benchmarking:"," Creating a controlled dataset (e.g., arithmetic word problems) with programmatically verifiable answers. This ensures that the evaluation is consistent and objective.",[39,6077,6078,6081,6082,6085,6086,6090],{},[42,6079,6080],{},"Structured Evaluator Feedback:"," Instead of simple binary pass\u002Ffail, the evaluator provides granular feedback. It distinguishes between logic errors (wrong answer) and format violations (correct answer but missing the required ",[6020,6083,6084],{},"#### \u003Cinteger>"," syntax). This allows the reflection model to understand ",[6087,6088,6089],"em",{},"why"," a prompt failed.",[39,6092,6093,6096],{},[42,6094,6095],{},"Multi-Component Evolution:"," Rather than treating a prompt as a single block of text, GEPA evolves distinct components—specifically instructions and output-format rules—simultaneously. This allows the model to optimize for both reasoning quality and structural compliance.",[17,6098,6100],{"id":6099},"implementation-and-validation","Implementation and Validation",[22,6102,6103,6104,6107,6108,6111,6112,6107,6115,6118],{},"The optimization loop uses two distinct models: a ",[42,6105,6106],{},"Task LM"," (e.g., ",[6020,6109,6110],{},"gpt-4o-mini",") to solve problems and a ",[42,6113,6114],{},"Reflection LM",[6020,6116,6117],{},"gpt-4.1",") to analyze failures and propose improved prompt candidates.",[22,6120,6121],{},"To ensure the optimized prompt generalizes, the framework splits data into training and validation sets. By evaluating candidates on a held-out validation set, developers can verify that the evolutionary process is actually improving reasoning capabilities rather than simply overfitting to the training examples. The framework is highly configurable, allowing developers to set budgets for metric calls and parallelize evaluation to speed up the iteration cycle.",{"title":56,"searchDepth":57,"depth":57,"links":6123},[6124,6125],{"id":6063,"depth":57,"text":6064},{"id":6099,"depth":57,"text":6100},[62],{"content_references":6128,"triage":6135},[6129,6132],{"type":5920,"title":6130,"url":6131,"context":76},"GEPA","https:\u002F\u002Fgithub.com\u002Fgepa-ai\u002Fgepa",{"type":5920,"title":6133,"url":6134,"context":76},"LiteLLM","https:\u002F\u002Fgithub.com\u002FBerriAI\u002Flitellm",{"relevance":81,"novelty":83,"quality":83,"actionability":83,"composite":5927,"reasoning":6136},"Category: AI & LLMs. The article provides a detailed framework for automating prompt engineering, addressing a key pain point for developers who struggle with manual prompt optimization. It outlines a specific workflow that includes deterministic benchmarking and structured feedback, making it actionable for those looking to implement similar systems.","\u002Fsummaries\u002F0fe85ecc077c52e9-automating-prompt-optimization-with-gepa-reflectiv-summary","2026-06-08 12:56:50",{"title":6053,"description":56},{"loc":6137},"0fe85ecc077c52e9","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F06\u002F07\u002Fbuilding-reflective-prompt-optimization-with-gepa-multi-component-prompts-structured-feedback-and-held-out-validation\u002F","summaries\u002F0fe85ecc077c52e9-automating-prompt-optimization-with-gepa-reflectiv-summary",[6047,98,97,99],"GEPA automates prompt engineering by using a reflection model to iteratively refine prompts based on structured feedback from a deterministic evaluation pipeline.",[],"8M5DBwhICknhf1a8i03DUdof8Twg4wit_I_KuFK94bc"]