文章浏览阅读79次。自动化迁移最容易翻车的地方是：智能体特别擅长宣布自己完成了。所以这个项目先把"完成"变成机器可判定的检查。原文说得很直接：人类唯一必须做的工作，就是把验证搭好，让大规模自主交付变得可能。TUI parity：把 ...

开源大模型的竞争正从参数规模转向推理底座。Prime Intellect 开源了生产级推理平台 Prime Inference，靠 Prefill/Decode 物理分离与 NVFP4 显存压缩，让 GLM-5.3 在 GB200 上跑出每秒 100 Token。 平时大家聊开源大模型，注意力往往全放在模型参数有多大、榜单刷了多少分上，真到了实际把模型拉出来跑 Agent 的生产环境，很多人立刻傻 ...

搭一个 AI Agent Demo，可能一个下午就够了。但要把它真正做到可以投入生产，完全是另一回事。 一个生产级 Agent 必须稳定在线、足够安全、控制好成本，而且当它不可避免地出问题时，你还得有足够的可观测性去弄清楚到底哪里出了错。这些能力几乎都不是模型本身提供的，而是来自你围绕模型搭出来的所有东西：记忆、工具访问、模型路由、护栏、成本控制，以及当 ...

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Run large-scale parallel and high-performance computing applications efficiently in the cloud with Azure Batch. To get started with Azure Batch, see Create a Batch account with the Azure portal. The ...

I'd never imagined that I would be using a task manager from the Linux terminal. Using commands to create to-do lists instead ...