【第216期】LLMSelector：选择不同模型做不同任务

Seventy3 · May 4, 2025 · 10m

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Optimizing Model Selection for Compound AI Systems

Summary

This paper addresses the challenge of selecting the best large language models (LLMs) for each component within compound AI systems. Recognizing that different LLMs excel at different sub-tasks, the authors introduce LLMSelector, a framework that efficiently identifies high-performing model allocations. LLMSelector iteratively evaluates and assigns LLMs to individual modules based on estimated module-wise performance. Experiments…