[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-資料標註":3},{"tag":4,"articles":9},{"id":5,"name":6,"slug":6,"article_count":7,"description_zh":8,"description_en":8},"f505663f-65ff-4e49-a7eb-d177908b985f","資料標註",1,null,[10,19],{"id":11,"slug":12,"title":13,"summary":14,"category":15,"image_url":16,"cover_image":16,"language":17,"created_at":18},"19f7524e-5f92-4e50-96fb-58b2e796baec","why-adala-is-the-wrong-way-to-think-about-data-labeling-zh","為什麼 Adala 是看錯資料標註的方式","Adala 很有用，但它不是標註革命，而是把監督式資料工作做得更順的工作流層。","tools","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778465449082-ttsj.png","zh","2026-05-11T02:10:30.689444+00:00",{"id":20,"slug":21,"title":22,"summary":23,"category":24,"image_url":25,"cover_image":25,"language":17,"created_at":26},"8b08524b-22a3-4f8e-8376-feacb8fdf2a5","openai-content-filtering-labeling-factory-zh","OpenAI內容過濾器的標註工廠","OpenAI把數萬條有害文本交給人工標註，再訓練內容過濾器。這篇拆開它的流程、成本、誤殺率與產業脈絡。","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775142613827-3s75.png","2026-04-02T15:09:34.468129+00:00"]