[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-lloyd-max-quantizer":3},{"tag":4,"articles":10},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":9},"6c3c74eb-64a9-48ec-8509-0012274aa342","Lloyd-Max quantizer","lloyd-max-quantizer",1,null,[11],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"1ac8d1f1-a68e-41d3-9955-d3c3a6b55e39","turboquant-online-vector-quantization-near-optimal-zh","TurboQuant：線上向量量化更接近最優","TurboQuant 提出可線上運作、適合加速器的向量量化方法，主打 MSE 與 inner-product 失真都能逼近近似最優，並鎖定 KV cache 與向量搜尋場景。","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777467660452-rlcy.png","zh","2026-04-29T13:00:39.453873+00:00"]