CoHyDE: Iterative Co-Training of LLM Rewriter & Dense Encoder for Tool Retrieval

The episode discusses 'CoHyDE,' a method for improving how AI agents find correct tools from large catalogs when user requests are vague or conversational. The system uses an iterative co-training loop between an LLM rewriter and a dense encoder, showing significant gains in tool retrieval accuracy.

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