{"id":"c9e27921-4dc6-455e-8ec8-f2cb2538f959","url":"https://api.tumn.com/news/c9e27921-4dc6-455e-8ec8-f2cb2538f959","title":"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 ","sections":[],"faq":[],"sources":[{"url":"https://aws.amazon.com/blogs/machine-learning/fine-tune-a-search-agent-with-multi-turn-rl-on-amazon-sagemaker-ai/","title":"AWS Machine Learning Blog","publishedAt":"2026-10-02T15:44:20.000Z"}],"author":"TUMN 큐레이션","aiAssisted":false,"reviewStatus":"automated","reviewNote":"원문 제목과 공개된 발췌를 인용하고 원문으로 연결합니다. 내용을 재작성하거나 요약하지 않았습니다.","publishedAt":"2026-10-02T15:44:20.000Z","modifiedAt":"2026-10-03T05:24:22.000Z","checkedAt":"2026-10-03T05:24:22.861Z","language":"ko","kind":"link","sourceLabel":"AI 공식","profile":null,"via":null,"formats":{"json":"https://api.tumn.com/news/c9e27921-4dc6-455e-8ec8-f2cb2538f959.json","markdown":"https://api.tumn.com/news/c9e27921-4dc6-455e-8ec8-f2cb2538f959.md"}}