[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"trend-detail-rag-zh-TW":3},{"keyword":4,"slug":5,"score":6,"change":7,"peakScore":8,"history":9,"relatedTrends":31,"relatedArticles":53},"RAG","rag",3403,38,9721,[10,11,11,12,13,14,15,16,17,18,19,16,20,20,15,15,15,15,15,21,22,23,24,25,8,26,27,28,29,30,6],2466,2780,2692,3091,2659,500,1231,1155,1179,1204,1556,3469,4194,6545,8516,9109,9230,7946,7750,5360,4242,[32,36,40,43,46,49],{"keyword":33,"slug":34,"score":35},"Anthropic","anthropic",10000,{"keyword":37,"slug":38,"score":39},"Claude","claude",6306,{"keyword":41,"slug":42,"score":39},"OpenAI","openai",{"keyword":44,"slug":45,"score":22},"Claude Code","claude-code",{"keyword":47,"slug":48,"score":6},"WebAssembly","webassembly",{"keyword":50,"slug":51,"score":52},"AI infrastructure","ai-infrastructure",2875,[54,63,71,79,88,96],{"id":55,"slug":56,"title":57,"summary":58,"source":59,"category":60,"cover_image":61,"image_url":61,"created_at":62},"667b72b6-e821-4d68-80a1-e03340bc85f1","turboquant-seo-shift-small-sites-zh","TurboQuant 與小站 SEO 變化","TurboQuant 傳聞指向 Google 搜尋評分範圍擴大，小型網站可能因此更容易進入排名名單。","www.drmattlynch.com","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778840440690-kcw9.png","2026-05-15T10:20:27.319472+00:00",{"id":64,"slug":65,"title":66,"summary":67,"source":68,"category":60,"cover_image":69,"image_url":69,"created_at":70},"381fb6c6-6da7-4444-831f-8c5eed8d685c","turboquant-vllm-comparison-fp8-kv-cache-zh","TurboQuant 與 FP8 實測結果","vLLM 首次大規模比較 TurboQuant 與 FP8 KV-cache。結果很直白：FP8 在速度上更穩，TurboQuant 的高壓縮版本則常掉準確率。","vllm.ai","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778839867551-4v9g.png","2026-05-15T10:10:36.034569+00:00",{"id":72,"slug":73,"title":74,"summary":75,"source":76,"category":60,"cover_image":77,"image_url":77,"created_at":78},"c15f45ee-a548-4dbf-8152-91de159c1a11","llmbda-calculus-agent-safety-rules-zh","LLMbda 演算替 AI 代理人立安全規則","這篇論文用形式化演算描述 LLM 代理人的對話與資訊流，目標是把隔離、保密與完整性變成可證明的安全規則。","arxiv.org","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778825503412-mlbf.png","2026-05-15T06:10:34.832664+00:00",{"id":80,"slug":81,"title":82,"summary":83,"source":84,"category":85,"cover_image":86,"image_url":86,"created_at":87},"e6379f8a-3305-4862-bd15-1192d3247841","why-nebius-ai-pivot-is-more-real-than-hype-zh","為什麼 Nebius 的 AI 轉型比炒作更真實","Nebius 的 Nvidia 背書與大額合約，代表它的 AI 轉型已經從題材變成可驗證的生意。","finance.yahoo.com","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778823044520-9mfz.png","2026-05-15T05:30:24.978992+00:00",{"id":89,"slug":90,"title":91,"summary":92,"source":93,"category":85,"cover_image":94,"image_url":94,"created_at":95},"66c4e357-d84d-43ef-a2e7-120c4609e98e","nvidia-backs-corning-factories-with-billions-zh","Nvidia 出資 Corning 工廠擴產","Nvidia 砸數十億美元幫 Corning 蓋新工廠，另有最高 32 億美元股權投資。這筆交易把 AI 競賽拉進材料、製造與供應鏈。","www.reuters.com","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778822450270-trdb.png","2026-05-15T05:20:27.701475+00:00",{"id":97,"slug":98,"title":99,"summary":100,"source":76,"category":60,"cover_image":101,"image_url":101,"created_at":102},"0c02225c-d6ff-44f8-bc92-884c8921c4a3","low-complexity-beamspace-denoiser-mmwave-mimo-zh","更簡單的毫米波波束域去噪器","這篇論文提出一個低複雜度的毫米波 massive MIMO 波束域去噪方法，結合低解析度 ADC 雜訊模型與硬體友善設計，目標是讓演算法更適合 FPGA 落地。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778814650361-xtc2.png","2026-05-15T03:10:30.06639+00:00"]