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在Amazon SageMaker AI上用多轮RL微调搜索代理
Fine-tune a search agent with multi-turn RL on Amazon SageMaker AI
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AWS教你如何在SageMaker上用多轮RL微调搜索代理，提升检索质量和可靠性，降低成本延迟。
Amazon发布了一种在SageMaker AI平台上使用多轮强化学习(MTRL)微调LLM搜索代理的方法。该微调过程使小型搜索代理能够学习特定工具和环境，在保持前沿模型可靠性的同时降低延迟和成本。实验测量显示，这种方法在检索质量和可靠性方面取得了明显提升。
原文 · AWS Machine Learning Blog
Fine-tune a search agent with multi-turn RL on Amazon SageMaker AI
Fine-tuning teaches a small search agent your tools and environment, giving it the reliability of a frontier model at lower latency and cost. In this post, we fine-tune an LLM-powered search agent with multi-turn reinforcement learning (MTRL) on Amazon SageMaker AI and share the gains we measured in retrieval quality and reliability.