{"id":"926f1b5a-882e-4353-8ae6-84c48e807d37","url":"https://api.tumn.com/news/926f1b5a-882e-4353-8ae6-84c48e807d37","title":"Announcing new ways to customize models with SageMaker AI, without managing GPUs","summary":"Amazon SageMaker AI serverless model customization now includes training sessions, generally available today. You write and coordinate your own post-training loop (custom loss functions, reward signals, or multi-turn reinforcement learning) while SageMaker AI handles GPU allocati","sections":[],"faq":[],"sources":[{"url":"https://aws.amazon.com/blogs/machine-learning/announcing-new-ways-to-customize-models-with-sagemaker-ai-without-managing-gpus/","title":"AWS Machine Learning Blog","publishedAt":"2026-10-22T18:00:04.000Z"}],"author":"TUMN 큐레이션","aiAssisted":false,"reviewStatus":"automated","reviewNote":"원문 제목과 공개된 발췌를 인용하고 원문으로 연결합니다. 내용을 재작성하거나 요약하지 않았습니다.","publishedAt":"2026-10-22T18:00:04.000Z","modifiedAt":"2026-10-22T21:25:54.000Z","checkedAt":"2026-10-22T21:25:54.182Z","language":"ko","kind":"link","sourceLabel":"AI 공식","profile":null,"via":null,"formats":{"json":"https://api.tumn.com/news/926f1b5a-882e-4353-8ae6-84c48e807d37.json","markdown":"https://api.tumn.com/news/926f1b5a-882e-4353-8ae6-84c48e807d37.md"}}