[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"topic-zh--unsloth-llm":3},{"cluster":4,"timeline":17},{"id":5,"slug":6,"title":7,"pinned":8,"status":9,"summary":10,"category":11,"language":12,"created_at":13,"merged_into":14,"article_count":15,"first_seen_at":13,"last_updated_at":16},"be8b3ef0-c6e7-477d-a0e9-f8f1e74e0335","-unsloth-llm","怎麼用 Unsloth 跑與微調 LLM",false,"active","這篇教你用 Unsloth 先完成本機 LLM 載入，再做 LoRA 微調與最小可行訓練驗證。","tools","zh","2026-05-25T01:05:29.960101+00:00",null,4,"2026-07-05T12:40:00.05029+00:00",[18,25,32,38],{"id":19,"slug":20,"title":21,"summary":22,"category":11,"image_url":23,"cover_image":23,"published_at":24,"is_canonical_seed":8},"851e075c-b22f-4425-a5c8-28132574da25","fine-tune-slm-emotion-recognition-zh","情緒辨識 SLM 微調實作指南","用 ISMOTE、LoRA 和 focal loss，把開放權重小語言模型微調成多標籤情緒辨識器。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781231575451-p3g5.png","2026-06-12T02:32:23.637+00:00",{"id":26,"slug":27,"title":28,"summary":29,"category":11,"image_url":30,"cover_image":30,"published_at":31,"is_canonical_seed":8},"a55669fd-8a18-48ec-ad5e-470295c2eb35","lora-fine-tuning-llms-practical-zh","LoRA 讓 LLM 微調更實用","LoRA 只訓練小型 adapter，就能微調 LLM，省下 VRAM、時間與成本，讓中小團隊也能玩得起。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780220882507-izhl.png","2026-05-31T09:47:33.859+00:00",{"id":33,"slug":34,"title":7,"summary":10,"category":11,"image_url":35,"cover_image":35,"published_at":36,"is_canonical_seed":37},"6a68ec02-df15-4ef4-8cdd-7fbcf23d2f3b","how-to-run-and-fine-tune-llms-with-unsloth-zh","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779671157661-sl8g.png","2026-05-25T01:05:27.587+00:00",true,{"id":39,"slug":40,"title":41,"summary":42,"category":11,"image_url":43,"cover_image":43,"published_at":44,"is_canonical_seed":8},"868034d7-415b-49bd-8f25-4dbd602e7094","unsloth-qwen35-partial-fine-tuning-zh","Unsloth 讓 Qwen3.5 可分層微調","Unsloth 新增 Qwen3.5 視覺模型分層微調，能只訓練 vision、language、attention 或 MLP。VRAM 更省，訓練也更快，對多模態團隊很實用。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775218014686-wj6q.png","2026-04-03T12:06:38.298+00:00"]