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Main Features
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Developments
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GEPA: A New LLM Prompt Optimizer Beats RL
GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
GEPA Explained: How LLMs as Optimizers Outperform Reinforcement Learning (RL) | Prompt Engineering
An Introduction to Prompt Optimization with GEPA I Sherwood Callaway I Daytona AI Builders @GitHub
GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Judge the Judge: Building LLM Evaluators That Actually Work with GEPA — Mahmoud Mabrouk, Agenta AI
DSPy 3 + GEPA: The Most Advanced RAG Framework Yet — Auto Reasoning & Prompting
GEPA Explained Simply | The Future of AI Prompt Engineering - 02
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Last Updated: August 20, 2026
Future Outlook
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![[GEPA] LLM prompt tuning: Reflective Prompt Evolution for Efficient LLM Optimization (Genetic-Pareto](https://i.ytimg.com/vi/0pP3VmIs8-E/mqdefault.jpg)
