![[GEPA] LLM prompt tuning: Reflective Prompt Evolution for Efficient LLM Optimization (Genetic-Pareto](https://i.ytimg.com/vi/0pP3VmIs8-E/mqdefault.jpg)
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Last Updated: September 22, 2026
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So this is what we're doing in this project called Describes a new prompt optimization tool called ** In this AI Research Roundup episode, Alex discusses the paper: ' Planning, Reasoning, and Agents Reading Group 2026-01-14 meeting recording. Dzmitry Pletnikau presents the paper ... llm In DSPy, you only need to declare the required "Natural Language ... Deploying an agent is only the start. In this workshop, Samuel Colvin shows how to improve agents after they are already live, ... Miscalibrated evals are worse than no evals. They give false confidence while being, at best, useless. This workshop walks you ... Prompt engineering doesn't scale—especially when models change, prompts drift, and your “logic” lives inside a giant string.
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