[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-phi":3},{"tag":4,"articles":10},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":9},"5d18bdbb-a91f-4b36-a750-613e60968e51","Phi","phi",1,null,[11],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"214ab08b-5ce5-4b5c-8b72-47619d8675dd","why-small-models-are-winning-on-device-ai-zh","小模型為何吃下裝置端 AI","Llama 3.2 與 Phi 證明，1B 到 4B 的小模型已能在手機與筆電處理摘要、改寫、檔案搜尋等常見工作。重點不只省成本，還有更低延遲、更少資料外送，以及更貼近作業系統與 App 的整合。","model-release","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1774516592855-651p.png","zh","2026-03-26T07:36:30.488966+00:00"]