{"id":"b8fc0901-3ec2-434b-997d-cee7bf729014","url":"https://api.tumn.com/news/b8fc0901-3ec2-434b-997d-cee7bf729014","title":"Exowatt beats frontier models on accuracy with SageMaker serverless model customization","summary":"In this post, we show how Exowatt used Amazon SageMaker AI serverless model customization to build a repeatable AI pipeline that produces task-specific fine-tuned models for two deployment targets, edge and cloud, achieving higher accuracy than frontier models at up to 49x lower ","sections":[],"faq":[],"sources":[{"url":"https://aws.amazon.com/blogs/machine-learning/exowatt-beats-frontier-models-on-accuracy-with-sagemaker-serverless-model-customization/","title":"AWS Machine Learning Blog","publishedAt":"2026-10-27T16:50:55.000Z"}],"author":"TUMN 큐레이션","aiAssisted":false,"reviewStatus":"automated","reviewNote":"원문 제목과 공개된 발췌를 인용하고 원문으로 연결합니다. 내용을 재작성하거나 요약하지 않았습니다.","publishedAt":"2026-10-27T16:50:55.000Z","modifiedAt":"2026-10-27T20:26:25.000Z","checkedAt":"2026-10-27T20:26:25.274Z","language":"ko","kind":"link","sourceLabel":"AI 공식","profile":null,"via":null,"formats":{"json":"https://api.tumn.com/news/b8fc0901-3ec2-434b-997d-cee7bf729014.json","markdown":"https://api.tumn.com/news/b8fc0901-3ec2-434b-997d-cee7bf729014.md"}}