{"id":"acde3dfe-f5a7-45cb-a925-10c9b39f073d","url":"https://api.tumn.com/news/acde3dfe-f5a7-45cb-a925-10c9b39f073d","title":"How uniopen customized Amazon Nova to their retail moderation policies for production deployment","summary":"See how uniopen, a retail platform from Taiwan's Uni-President Enterprises Group, adapted Amazon Nova 2 Lite to its content-moderation policies using supervised fine-tuning in Amazon SageMaker AI and prompt optimization. Business-relevant evaluation and release gates kept quality","sections":[],"faq":[],"sources":[{"url":"https://aws.amazon.com/blogs/machine-learning/how-uniopen-customized-amazon-nova-to-their-retail-moderation-policies-for-production-deployment/","title":"AWS Machine Learning Blog","publishedAt":"2026-10-01T15:33:01.000Z"}],"author":"TUMN 큐레이션","aiAssisted":false,"reviewStatus":"automated","reviewNote":"원문 제목과 공개된 발췌를 인용하고 원문으로 연결합니다. 내용을 재작성하거나 요약하지 않았습니다.","publishedAt":"2026-10-01T15:33:01.000Z","modifiedAt":"2026-10-03T09:24:23.000Z","checkedAt":"2026-10-03T09:24:23.026Z","language":"ko","kind":"link","sourceLabel":"AI 공식","profile":null,"via":null,"formats":{"json":"https://api.tumn.com/news/acde3dfe-f5a7-45cb-a925-10c9b39f073d.json","markdown":"https://api.tumn.com/news/acde3dfe-f5a7-45cb-a925-10c9b39f073d.md"}}