---
format: "aidr-story-markdown/v1"
id: "6a7050a4b2e4b019501da1825e1d62bef07968e113f4b20b332dcbb13ae5a24a"
canonical_url: "https://aidr.today/6a7050a4?lang=en"
title: "Fine-tune a search agent with multi-turn RL on Amazon SageMaker AI"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
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published_at: "2026-10-02T15:44:20.000Z"
category: "Tools"
topics: ["amazon","agent","devtools"]
source_urls: ["https://aws.amazon.com/blogs/machine-learning/fine-tune-a-search-agent-with-multi-turn-rl-on-amazon-sagemaker-ai/"]
summary: "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."
---

# Fine\-tune a search agent with multi\-turn RL on Amazon SageMaker AI

> [Open the canonical story](<https://aidr.today/6a7050a4?lang=en>)

**Published:** 2026-10-02T15:44:20.000Z
**Category:** Tools
**Topics:** amazon, agent, devtools

## Summary

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\.

## Sources

- [Story source](<https://aws.amazon.com/blogs/machine-learning/fine-tune-a-search-agent-with-multi-turn-rl-on-amazon-sagemaker-ai/>)