Pai 的 AI 雷达

Agent与工具

今天:Build Applications on(Agent 原型),GitHub Copilot can。并行还有 How Much of、Show HN、AI agents tried。

日期
2026/10/02
今日条目
101
当前类目
8
#01

Build Applications on NVIDIA BlueField Faster with NVIDIA DOCA Agent Skills

AI agents are becoming a standard part of development workflows, but general-purpose agents weren’t built with specialized infrastructure software such as NVIDIA DOCA in mind. Without domain-specific knowledge, agents may fall back on guesswork. This is an issue in infrastructure

推荐理由它能为通用 AI 智能体提供 NVIDIA DOCA 专属的专业领域知识支持,消除其在基础设施软件开发中因缺乏专业认知而产生的盲目猜测,从而显著加速并高质量地在 NVIDIA BlueField 上构建应用程序。
Agent与工具NVIDIA Developer GenAI
#02

GitHub Copilot can now interact with desktop apps with computer use

Computer use is now available in public preview in GitHub Copilot CLI and the GitHub Copilot app on macOS and Windows. Copilot can interact with desktop applications on your behalf (e.g., reading accessible app content and visual context, clicking controls, entering and editing t

推荐理由这项功能可以让 GitHub Copilot 在 macOS 和 Windows 系统中代表用户与桌面应用程序直接交互,通过读取软件的无障碍内容和视觉上下文,自动执行点击界面控件以及输入、编辑文本等操作,实现桌面端软件交互与操作的自动化。
Agent与工具GitHub Changelog
#03

How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?

Recent autonomous machine learning engineering (MLE) agents have made significant progress on public leaderboards. Often motivated by progress stagnation over long-horizon cycles and limited Large Language Model (LLM) primitives, modern MLE agents are deployed on top of increasin

推荐理由该成果可用于自动化开展机器学习工程流程,通过探索强智能体对外部框架支持的依赖程度,有效缓解长周期循环中常见的进度停滞问题,进而提升大语言模型在公开排行榜等复杂场景下的自主工程研发与落地能力。
Agent与工具Apple ML Research