[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-evolution-strategies":3},{"tag":4,"articles":10},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":9},"4e81d82d-7673-4e04-937d-f7846fe15da2","evolution strategies","evolution-strategies",0,null,[11,20],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"a4cb421e-464e-4933-9e1c-6371d3cd1503","prevent-catastrophic-forgetting-llm-fine-tuning-zh","如何防止 LLM 微調災難性遺忘","用 Anchored Weight Decay 在 LLM 微調時降低舊任務漂移，保住原有能力並檢查模型是否回復。","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780730281470-8i97.png","zh","2026-06-06T07:17:28.426709+00:00",{"id":21,"slug":22,"title":23,"summary":24,"category":16,"image_url":25,"cover_image":25,"language":18,"created_at":26},"923bb0c4-95f3-49a0-8e01-5cdd6bcd2e32","fixing-llm-forgetting-es-fine-tuning-zh","ES 微調忘記問題有解了","這篇論文指出，LLM 用 evolution strategies 微調時的「忘記」多半是可回復的漂移，靠 anchored weight decay 就能壓住。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780604276240-arx4.png","2026-06-04T20:17:25.720929+00:00"]