[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-domain-tuned-models":3},{"tag":4,"articles":10},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":9},"b50b813e-1f4a-4864-ac7d-fbddf75c3f72","domain-tuned models","domain-tuned-models",0,null,[11],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"f26334ab-dd8b-49c2-a49e-7fc376200f2b","microsoft-bets-on-controllable-domain-tuned-models-zh","微軟押注可控、領域調校模型，而不是更大的通用模型","微軟正在把 AI 堆疊的重心，從通用大模型轉向可控、領域調校的小型模型，因為真正的企業價值來自部署、成本與治理，而不是 demo 的震撼感。","model-release","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781331468190-ymfp.png","zh","2026-06-13T06:17:20.311904+00:00"]