[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-scaling-laws":3},{"tag":4,"articles":10},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":9},"69f41602-30f1-4e6d-b33c-de218af64ffb","scaling laws","scaling-laws",2,null,[11],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"8f6e04cc-3ebe-4cf7-a6a4-ab847fb6e355","active-experiment-selection-cheaper-scaling-laws-zh","主動選樣讓 scaling law 更省錢","這篇論文把 pilot experiments 也當成最佳化問題，透過逐步、看不確定性的選樣，在有限預算下挑最有價值的跑法；摘要聲稱常能用約 10% 訓練預算，逼近全量 fitting 的效果。","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777269833885-q0cj.png","zh","2026-04-27T06:03:36.246487+00:00"]