Fine-tuning a search agent with multi-turn RL on SageMaker AI
What happened
On 2 October 2026, the AWS Machine Learning Blog published an article describing how to fine-tune Qwen3.6-27B with multi-turn reinforcement learning (MTRL) on Amazon SageMaker AI to train a search agent that autonomously calls BM25 lexical search and vector search tools across multiple turns. The report did not disclose details such as the size of the training data, evaluation results or a launch date.
Written by AI from the reports · updated 14 d ago
Timeline
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- AWS Machine Learning BlogFine-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.