[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-instruction-tuning":3},{"tag":4,"articles":10},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":9},"c241921a-5160-4d76-afaf-8f7986e5884a","instruction tuning","instruction-tuning",0,null,[11],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"d1c6850c-f832-471b-8beb-c0ebc809667d","peft-bench-fine-tuning-methods-benchmark-zh","PEFT-Bench 讓微調比較更公平","PEFT-Bench 把 27 個 NLP 資料集與 7 種 PEFT 方法放進同一套流程，比的不只準確率，也把參數、速度和記憶體成本算進去。","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779179048497-jm5y.png","zh","2026-05-19T08:23:36.803043+00:00"]