{"id":"ab9316da-e9bc-452a-b5f1-bb1b1352cabe","url":"https://api.tumn.com/news/ab9316da-e9bc-452a-b5f1-bb1b1352cabe","title":"Introducing Reflection Beam: an open-weight model for agentic coding on AWS","summary":"Reflection AI's Beam is an open-weight model for agentic coding and long-horizon tasks. This post shows how to deploy Beam on AWS: start with an Amazon SageMaker JumpStart real-time endpoint, or use Amazon SageMaker HyperPod Inference with JumpStart, SGLang, or vLLM for Kubernete","sections":[],"faq":[],"sources":[{"url":"https://aws.amazon.com/blogs/machine-learning/introducing-reflection-beam-an-open-weight-model-for-agentic-coding-on-aws/","title":"AWS Machine Learning Blog","publishedAt":"2026-10-16T15:23:10.000Z"}],"author":"TUMN 큐레이션","aiAssisted":false,"reviewStatus":"automated","reviewNote":"원문 제목과 공개된 발췌를 인용하고 원문으로 연결합니다. 내용을 재작성하거나 요약하지 않았습니다.","publishedAt":"2026-10-16T15:23:10.000Z","modifiedAt":"2026-10-16T21:25:25.000Z","checkedAt":"2026-10-16T21:25:25.007Z","language":"ko","kind":"link","sourceLabel":"AI 공식","profile":null,"via":null,"formats":{"json":"https://api.tumn.com/news/ab9316da-e9bc-452a-b5f1-bb1b1352cabe.json","markdown":"https://api.tumn.com/news/ab9316da-e9bc-452a-b5f1-bb1b1352cabe.md"}}