GEPA with Lakshya A. Agrawal - Weaviate Podcast #127!
Weaviate Podcast
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Optimizing AI with Domain Knowledge
This chapter explores how to integrate domain-specific knowledge into AI systems, focusing on large language models and the importance of understanding training distributions. It introduces the concept of the Pareto frontier and discusses diversity-inducing search algorithms to enhance AI performance in real-world applications. Additionally, the chapter highlights innovative techniques like GEPA and self-bootstrapping to improve training efficiency and adaptability in problem-solving.
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