{"id":"a35c8c93-5cbf-4ed0-b4e5-b7d7a6856ee2","url":"https://api.tumn.com/news/a35c8c93-5cbf-4ed0-b4e5-b7d7a6856ee2","title":"Deploy decision models with llama.cpp on Amazon SageMaker AI","summary":"Learn how to deploy decision models with llama.cpp on Amazon SageMaker AI. This technical how-to serves OpenAI-compatible chat completions with the AWS Deep Learning Container for llama.cpp, then extends the runtime with SemIf to return probabilities over declared options on CPU ","sections":[],"faq":[],"sources":[{"url":"https://aws.amazon.com/blogs/machine-learning/deploy-decision-models-with-llama-cpp-on-amazon-sagemaker-ai/","title":"AWS Machine Learning Blog","publishedAt":"2026-10-12T15:51:46.000Z"}],"author":"TUMN 큐레이션","aiAssisted":false,"reviewStatus":"automated","reviewNote":"원문 제목과 공개된 발췌를 인용하고 원문으로 연결합니다. 내용을 재작성하거나 요약하지 않았습니다.","publishedAt":"2026-10-12T15:51:46.000Z","modifiedAt":"2026-10-12T20:24:46.000Z","checkedAt":"2026-10-12T20:24:46.492Z","language":"ko","kind":"link","sourceLabel":"AI 공식","profile":null,"via":null,"formats":{"json":"https://api.tumn.com/news/a35c8c93-5cbf-4ed0-b4e5-b7d7a6856ee2.json","markdown":"https://api.tumn.com/news/a35c8c93-5cbf-4ed0-b4e5-b7d7a6856ee2.md"}}