Pai 的 AI 雷达

Agent与工具

今天:Architecting Governed(Agent 原型),Donating Agent Skills(Agent 原型)。并行还有 Running Frontier-Class AI、Anthropic 指南、Industry comparisons in。

日期
2026/10/23
今日条目
95
当前类目
9
#01

Architecting Governed, Self-Evolving AI Agents on Google Cloud

Learn how Project Chrysalis combines Google Cloud's Gemini Enterprise Agent Platform, Agent Development Kit (ADK), BigQuery, and a four-gate defense-in-depth security stack (Model Armor, Cloud KMS, Binary Authorization, and OPA) to build governed, self-evolving AI agents that rem

推荐理由Architecting Governed, Self-Evolving AI:Learn how Project Chrysalis combines Google Cloud's Gemini Enterprise Agent Platform。
Agent与工具Google Developers AI (Olshansk)
#02

Donating Agent Skills to the Agentic AI Foundation

Donating Agent Skills to the Agentic AI Foundation News today from Anthropic: We’re committed to keeping Agent Skills open, community-driven, and vendor-neutral. Today, we are donating the standard to the Agentic AI Foundation (AAIF) under the Linux Foundation, which we co-founde

推荐理由Donating Agent Skills to the Agentic AI:Donating Agent Skills to the Agentic AI Foundation News today from Anthropic: We’re。
Agent与工具Simon Willison
#03

Running Frontier-Class AI Models Across 8 NVIDIA DGX Spark Nodes

AI developers aren’t just running a single model anymore—they’re orchestrating multiple models in parallel, chaining inference calls, and experimenting with frontier-class architectures that demand hundreds of gigabytes of memory. NVIDIA DGX Spark was built to bring AI developmen

推荐理由Running Frontier-Class AI Models Across:AI developers aren’t just running a single model anymore—they’re orchestrating multiple。
Agent与工具硬件边缘NVIDIA Developer GenAI
#04

Anthropic 指南:何时把子智能体合并进主 Agent 循环

Anthropic Applied AI 团队发布指南,讲解何时把 orchestrator 下的路由器、规划器和领域子智能体合并进单个主 Agent 循环。文中对比显示,带 skills 的单智能体在质量上常优于一提示全包和子智能体设计,且成本和延迟更低,一家客户改用单循环后运行时间约快 2x。

推荐理由Anthropic Applied AI 团队发布指南,讲解何时把 orchestrator 下的路由器、规划器和领域子智能体合并进单个主 Agent 循环。
Agent与工具AIHOT public items
#05

Industry comparisons in the Copilot impact dashboard

The Copilot impact dashboard now includes an “Industry comparison” section. Enterprises, and organizations that aren’t owned by an enterprise, can compare their Copilot agentic adoption and leverage with aggregated benchmarks from participating peers. Participation is opt-in and

推荐理由Industry comparisons in the Copilot:The Copilot impact dashboard now includes an “Industry comparison” section。
Agent与工具GitHub Changelog
#08

Inside NVIDIA Sentry: Secure AI Agents at Runtime

An AI agent can complete its assignment and still cross a security boundary. Recent incidents show that agents can circumvent security controls while using tools, credentials, and services to pursue their assigned goals. Monitoring and enforcement need to operate outside the agen

推荐理由Inside NVIDIA Sentry: Secure AI Agents:An AI agent can complete its assignment and still cross a security boundary。
Agent与工具NVIDIA Developer GenAI
#09

How NVIDIA OpenShell Reference Architecture Secures and Governs AI Agent Workloads at Scale

Autonomous agents can work for hours on complex tasks, accessing files, tools, the internet, and spawning other agents to collaborate with. Executing complex tasks over long time horizons leads to compounding risk: the agents may download code, build new tools, request additional

推荐理由How NVIDIA OpenShell Reference:Autonomous agents can work for hours on complex tasks, accessing files, tools。
Agent与工具NVIDIA Developer GenAI