AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻译准备中
Can AI Agents Build Bespoke Systems?
翻译准备中
开发工具Python · TypeScriptGitHub @uw-syfi自行安装运营者未确认
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正在加载完整 README。 以下为已保存的摘录。
VibeSys: Generating Bespoke Systems with AI Agents
An agentic framework that generates bespoke systems from application requirements, workload characteristics, and the underlying hardware.
One of VibeSys's first initiatives is VibeServe, which asks whether AI agents
can generate a bespoke LLM serving system for each model, workload, and hardware
target. The figures, blog post, and paper below document that initiative.
• 2026-05 — VibeServe blog post: Let AI Agents Write Your Serving Stack with VibeServe.
• 2026-05 — Paper released on arXiv: 2605.06068.查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
VibeSys: Generating Bespoke Systems with AI Agents
An agentic framework that generates bespoke systems from application requirements, workload characteristics, and the underlying hardware.
One of VibeSys's first initiatives is VibeServe, which asks whether AI agents
can generate a bespoke LLM serving system for each model, workload, and hardware
target. The figures, blog post, and paper below document that initiative.
• 2026-05 — VibeServe blog post: Let AI Agents Write Your Serving Stack with VibeServe.
• 2026-05 — Paper released on arXiv: 2605.06068.查看完整 README ↗