{"id":"ac504359-c484-44a0-9c05-5c0b48bccbeb","url":"https://api.tumn.com/news/ac504359-c484-44a0-9c05-5c0b48bccbeb","title":"Write your own training loop — without managing GPUs — with Amazon SageMaker training session APIs","summary":"Amazon SageMaker AI training session APIs let you write your own LLM training loop (SFT, RL, or custom objectives) in a Python script while the service runs the GPUs. This post introduces the programming model and three SDK clients, then walks through a GRPO loop on GSM8K and a r","sections":[],"faq":[],"sources":[{"url":"https://aws.amazon.com/blogs/machine-learning/write-your-own-training-loop-without-managing-gpus-with-amazon-sagemaker-training-sessions/","title":"AWS Machine Learning Blog","publishedAt":"2026-10-22T18:00:01.000Z"}],"author":"TUMN 큐레이션","aiAssisted":false,"reviewStatus":"automated","reviewNote":"원문 제목과 공개된 발췌를 인용하고 원문으로 연결합니다. 내용을 재작성하거나 요약하지 않았습니다.","publishedAt":"2026-10-22T18:00:01.000Z","modifiedAt":"2026-10-22T21:25:54.000Z","checkedAt":"2026-10-22T21:25:54.200Z","language":"ko","kind":"link","sourceLabel":"AI 공식","profile":null,"via":null,"formats":{"json":"https://api.tumn.com/news/ac504359-c484-44a0-9c05-5c0b48bccbeb.json","markdown":"https://api.tumn.com/news/ac504359-c484-44a0-9c05-5c0b48bccbeb.md"}}