[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-aws":3},{"tag":4,"articles":11},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":10},"64984a0d-54f2-4223-8875-53b0bb65644b","AWS","aws",15,"AWS 是 Amazon 的雲端基礎設施平台，涵蓋運算、儲存、網路、資料庫到 AI 服務。從 DevOps、IaC、CI\u002FCD 到 Bedrock 與大型模型合作，AWS 直接影響企業交付速度、成本與算力布局。","AWS is Amazon’s cloud platform for compute, storage, networking, databases, and AI services. It shapes how teams build and ship software through DevOps, IaC, CI\u002FCD, and model hosting, while also driving major compute deals and enterprise AI strategy.",[12,21,28,36,44,52,59,66,73,80,87,94,101,108,115],{"id":13,"slug":14,"title":15,"summary":16,"category":17,"image_url":18,"cover_image":18,"language":19,"created_at":20},"8fc9dd3c-ec28-4f5c-9ba0-db682af0c642","why-aws-is-right-to-bet-on-usdc-payments-for-ai-agents-zh","為什麼 AWS 押注 USDC 代理人付款是對的","AWS 把 AI 代理人的付款接到 USDC、Coinbase 和 Stripe，是在補上代理經濟最缺的一塊：可程式化、可結算的金流。","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778718037251-n91k.png","zh","2026-05-14T00:20:19.902025+00:00",{"id":22,"slug":23,"title":24,"summary":25,"category":17,"image_url":26,"cover_image":26,"language":19,"created_at":27},"41ee09c7-6650-4565-80bf-f8b7e00fd3d3","why-aws-is-right-to-move-q-developer-users-to-kiro-zh","為什麼 AWS 把 Q Developer 使用者轉到 Kiro 是對的","AWS 結束把 Q Developer 當成 AI 寫碼核心，改推 Kiro，是把產品重心從提示詞助手轉向可持續的 agentic 工作流。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778227859877-f170.png","2026-05-08T08:10:26.571375+00:00",{"id":29,"slug":30,"title":31,"summary":32,"category":33,"image_url":34,"cover_image":34,"language":19,"created_at":35},"ca4809be-9913-404d-aea5-53bb3b41c786","aws-bedrock-knowledge-bases-rag-zh","AWS Bedrock Knowledge Bases 怎麼簡化 RAG","AWS Bedrock Knowledge Bases 把 RAG 的擷取、向量庫、重排序和引用整合成託管服務，適合要接企業內部資料的 AI 應用。","tools","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777960285938-buk7.png","2026-05-05T05:51:07.759842+00:00",{"id":37,"slug":38,"title":39,"summary":40,"category":41,"image_url":42,"cover_image":42,"language":19,"created_at":43},"254c9611-aa49-4f96-be03-77c9c2f8007b","what-rag-is-and-why-it-matters-zh","RAG 是什麼，為何重要","RAG 讓 LLM 先查外部可信資料再回答，能降低幻覺、更新更快，也更適合企業文件與權限控管。","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777958450449-qp57.png","2026-05-05T05:20:30.928679+00:00",{"id":45,"slug":46,"title":47,"summary":48,"category":49,"image_url":50,"cover_image":50,"language":19,"created_at":51},"c22cf822-ce57-495f-a4ab-643ad9a08200","aws-rft-llm-as-a-judge-nova-zh","AWS 解析 Nova 的 RFT 評分法","AWS 公布用 LLM-as-a-judge 做 Nova 的強化微調，並用合約審查案例示範如何把評分信號接到生產流程。","model-release","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777944044767-0md3.png","2026-05-05T01:20:23.634187+00:00",{"id":53,"slug":54,"title":55,"summary":56,"category":17,"image_url":57,"cover_image":57,"language":19,"created_at":58},"259a408a-3045-47ef-ae32-1a2d7b76233e","anthropic-amazon-5gw-compute-claude-zh","Anthropic 與 Amazon 鎖定 5GW 算力","Anthropic 與 Amazon 簽下更大的 AWS 合作，最高 5GW 算力、10 年超過 1000 億美元，Claude 也已在 AWS Bedrock 上服務 10 萬名以上客戶。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777032245147-w0wg.png","2026-04-24T12:03:39.154665+00:00",{"id":60,"slug":61,"title":62,"summary":63,"category":17,"image_url":64,"cover_image":64,"language":19,"created_at":65},"d45875b4-3402-4c17-8756-f779970af729","what-devops-really-means-on-aws-zh","AWS 上的 DevOps 到底是什麼","AWS 把 DevOps 定義成文化加自動化。本文拆解 CI\u002FCD、微服務與 IaC 怎麼影響交付速度、可靠性與資安。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776773761571-nj76.png","2026-04-21T12:15:40.120152+00:00",{"id":67,"slug":68,"title":69,"summary":70,"category":17,"image_url":71,"cover_image":71,"language":19,"created_at":72},"a7597048-3320-46db-9d60-bafac0df6566","amazon-adds-5b-anthropic-deal-zh","Amazon 再砸 50 億美元給 Anthropic","Amazon 再投 50 億美元給 Anthropic，還可能加碼到 200 億美元。這筆錢不只是投資，更是把 AWS、Claude 和企業 AI 綁得更緊。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776773213105-g34c.png","2026-04-21T12:06:36.957947+00:00",{"id":74,"slug":75,"title":76,"summary":77,"category":17,"image_url":78,"cover_image":78,"language":19,"created_at":79},"928c175c-82fb-41d1-af0d-c399c57ff07a","amazon-25b-anthropic-compute-deal-zh","亞馬遜砸 250 億美元，買的是算力","Amazon 對 Anthropic 再投最高 250 億美元，Anthropic 也承諾 10 年內在 AWS 花超過 1000 億美元。這筆交易核心不是股權，而是算力、晶片與雲端容量。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776773039136-mz9c.png","2026-04-21T12:03:38.770069+00:00",{"id":81,"slug":82,"title":83,"summary":84,"category":17,"image_url":85,"cover_image":85,"language":19,"created_at":86},"53332d20-ac19-4066-bbfd-4164923130f7","cloud-infrastructure-spend-jumps-ai-demand-zh","AI 需求把雲端支出推高 29%","Q4 2025 全球雲端基礎設施支出達 1109 億美元，年增 29%。AI 訓練、推論與雲端工作負載一起拉高 hyperscaler 投資。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775200180978-1ufe.png","2026-04-03T07:09:17.443915+00:00",{"id":88,"slug":89,"title":90,"summary":91,"category":17,"image_url":92,"cover_image":92,"language":19,"created_at":93},"5d130eaa-4020-425f-8560-79a030c9f957","why-distributed-systems-feel-so-weird-zh","分散式系統為何這麼怪","AWS 用很直白的方式解釋分散式系統為何難搞：一次請求會跨過多個故障域，每一步都可能獨立失敗。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775171208214-bz3p.png","2026-04-02T23:06:32.56818+00:00",{"id":95,"slug":96,"title":97,"summary":98,"category":33,"image_url":99,"cover_image":99,"language":19,"created_at":100},"13819f2d-e9a1-4af2-88f3-7dbe4cb4ce61","prompt-engineering-explained-without-the-hype-zh","別把 Prompt Engineering 想太神","Prompt engineering 不是玄學。AWS 直接把方法、用途和取捨講清楚，重點是把模糊需求變成可用輸出，讓 LLM 更穩、更好控。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775164736525-0uq1.png","2026-04-02T21:18:35.227524+00:00",{"id":102,"slug":103,"title":104,"summary":105,"category":33,"image_url":106,"cover_image":106,"language":19,"created_at":107},"8ebda40b-9172-4a86-bc27-52f4d301f210","mlops-explained-how-ml-teams-ship-models-zh","MLOps 是什麼？ML 團隊怎麼上線模型","MLOps 把模型訓練、測試、部署和監控變成可重複流程。這篇用 AWS 的視角，拆解它怎麼運作、為何重要，以及和 DevOps 的差別。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775143133896-37yf.png","2026-04-02T15:18:31.788287+00:00",{"id":109,"slug":110,"title":111,"summary":112,"category":49,"image_url":113,"cover_image":113,"language":19,"created_at":114},"39da7a6f-9cdb-4df7-b624-4a6e65102f6f","aws-s3-sagemaker-unified-studio-fine-tuning-zh","AWS 用 S3 加速 LLM 微調","AWS 示範怎麼用 SageMaker Unified Studio、S3 和 MLflow，拿 DocVQA 資料微調 Llama 3.2 11B Vision Instruct，並比較 1,000、5,000、10,000 筆資料的訓練效果。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775139361040-b83t.png","2026-04-02T14:15:37.601407+00:00",{"id":116,"slug":117,"title":118,"summary":119,"category":120,"image_url":121,"cover_image":121,"language":19,"created_at":122},"f2ca7720-b471-4ce5-9336-2a9ac2a876fd","amazon-bedrock-agents-multi-agent-workflows-zh","Amazon Bedrock Agents 進入多代理工作流","AWS 為 Amazon Bedrock Agents 加入記憶、程式執行與多代理協作，目標是處理更複雜的企業工作流。","ai-agent","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775051177170-9bcp.png","2026-04-01T09:30:29.945429+00:00"]