GEPA with Lakshya A. Agrawal - Weaviate Podcast #127!
Weaviate Podcast
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Advancements in AI Optimization Techniques
This chapter explores innovative AI optimization techniques focusing on sample efficiency and the role of language models in providing feedback during learning tasks. It highlights the evolution of algorithms, such as GEPA, and discusses how reflective capabilities of large language models can enhance performance metrics and enhance predictive capabilities. The chapter further elaborates on various candidate selection strategies and the integration of algorithms like GRPO and Simba in optimizing AI development processes.
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