[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-推理效率":3},{"tag":4,"articles":9},{"id":5,"name":6,"slug":6,"article_count":7,"description_zh":8,"description_en":8},"da6dd4d2-3e1d-499a-9a85-5b11c33fc7ea","推理效率",0,null,[10],{"id":11,"slug":12,"title":13,"summary":14,"category":15,"image_url":16,"cover_image":16,"language":17,"created_at":18},"ad2e19d7-a96f-4a39-bd32-5b139f46b560","why-turboquant-matters-more-than-model-size-zh","為什麼 TurboQuant 比模型大小更重要","TurboQuant 之所以重要，不是因為模型更大，而是因為它直接壓低了決定本地 AI 表現的 KV cache 記憶體瓶頸。","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779864485542-p489.png","zh","2026-05-27T06:47:24.622955+00:00"]