[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-genaiops":3},{"tag":4,"articles":10},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":9},"0f376acf-ed3e-437b-9dbc-518925306767","GenAIOps","genaiops",0,null,[11],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"235397ea-a41f-4ff0-aaea-fcad743e2316","microsoft-mlops-maturity-model-five-levels-zh","Microsoft 的 MLOps 五級成熟度模型","Microsoft Azure 把 MLOps 分成五級，從手動訓練到自動監控與重訓。這套模型重點不是打分數，而是看團隊能不能重現、追蹤和自動化模型流程。","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780970578667-kwcy.png","zh","2026-06-09T02:02:30.486328+00:00"]