[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-gpt-4":3},{"tag":4,"articles":11},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":10},"2f2707ca-cd6d-43e9-9abe-e74fafcd8198","GPT-4","gpt-4",3,"GPT-4 是 OpenAI 的大型語言模型系列代表，常被拿來討論參數規模、推理品質、延遲與成本之間的取捨。相關話題也延伸到 GPT-4o、模型蒸餾、工具呼叫與 agent 工作流程，反映生成式 AI 的工程實作重點。","GPT-4 refers to OpenAI’s flagship language model family and the tradeoffs it brought into focus: model size, reasoning quality, latency, and cost. The topic also connects to GPT-4o, distillation, tool use, and agent workflows, all central to how developers ship generative AI systems.",[12,21],{"id":13,"slug":14,"title":15,"summary":16,"category":17,"image_url":18,"cover_image":18,"language":19,"created_at":20},"838cb5fd-5651-49fb-9b4c-c2dbde25ca02","claude-opus-45-gpt-parameters-estimate-zh","Claude Opus 4.5 和 GPT 到底多大","GPT-4 常被估到 1.6 兆參數，但 GPT-4o 可能只有 200B 到 300B。Claude Opus 4.5 的真實大小沒公開，重點其實是成本、延遲和效能比。","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775207388141-adee.png","zh","2026-04-03T09:09:28.833454+00:00",{"id":22,"slug":23,"title":24,"summary":25,"category":26,"image_url":27,"cover_image":27,"language":19,"created_at":28},"a93a9f12-827d-47a3-a2cc-9a602450b5ba","bytedance-deerflow-2-0-47k-stars-zh","ByteDance DeerFlow 2.0 衝上 47.…","ByteDance 的 DeerFlow 2.0 在 GitHub 衝到 47.3K stars。它想把 agent 的規劃、工具呼叫與多步驟工作流程，做成開發者更好接上的框架。","ai-agent","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775142408400-om8u.png","2026-04-02T15:06:32.612652+00:00"]