AI 每日快讯

AI 每日快讯

AI 产品、模型、开源工具和官方动态的时间流。保留历史记录,按分类、日期和标签继续筛选。

2440历史快讯
140开源工具
14当前结果
08 月 06 日 2026-08-06 快讯

AWS Machine Learning 动态:Securing AI agents with temporal policies in Amazon Bedrock AgentCore

原文摘要:Temporal policies in Amazon Bedrock AgentCore let you define stateful rules that evaluate authorization based on an agent's session history. Learn how to enforce 工作流 sequencin 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

The Decoder 官方资讯

The Decoder:Deepmind's talent drain likely comes down to chip shortages, a conflict of interest, and Goo…

原文摘要:Ex-Google Deepmind CEO Demis Hassabis has reportedly stepped back from day-to-day operations for about a year, as he sees himself more as a scientist than a manager. Resea 来源:The Decoder。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

AWS Machine Learning 动态:Configure rate limits for AI traffic on AgentCore gateway

原文摘要:Learn how to configure rate limits on Amazon Bedrock AgentCore gateway to enforce per-user and per-target traffic controls. Define request, token, and connection limits scoped by J 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

AWS Machine Learning 动态:Control agent behaviors and cost beyond a single action: new capabilities in Amazon Bedrock …

原文摘要:Learn about new capabilities in Amazon Bedrock AgentCore: temporal policies powered by Dogwood, a new 开源 policy language for AI agents, and rate limiting on the gateway. T 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

AWS Machine Learning 动态:LLM optimization integration for Amazon SageMaker Python SDK

原文摘要:The Amazon SageMaker Python SDK v3 now exposes generative AI inference recommendations in Amazon SageMaker AI directly in your notebook. 评测 an endpoint, generate data-driven 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

AWS Machine Learning 动态:Building an agentic app deployer with Amazon Bedrock and AWS Lambda

原文摘要:PDI Technologies built PDI Brew, an agentic platform on AWS where non-technical employees describe a tool in plain English and receive a fully provisioned, multi-tenant web applica 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

AWS Machine Learning 动态:Agent Skills for Automated Reasoning policies in Amazon Bedrock

原文摘要:Learn how to run the full Amazon Bedrock Automated Reasoning policy lifecycle from your coding agent. A suite of 开源 Agent Skills builds, reviews, tests, debugs, deploys, a 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

AWS Machine Learning 动态:Enforcing data residency with single-Region Claude Code on Amazon Bedrock

原文摘要:A regulated customer needed all Claude Code inference processed in a single AWS Region (London), not just in-geography. This post shows two ways to pin Claude Code on Amazon Bedroc 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

AWS Machine Learning 动态:Build visibility for Codex on Amazon Bedrock with OpenTelemetry and Amazon CloudWatch

原文摘要:As engineering teams adopt coding agents like Codex, leaders need visibility into adoption, consumption, and reliability. This post shows how to route Codex OpenTelemetry metrics t 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Article: Runtime-Agnostic AI 工作流: A Pattern for Production Durability and Fast Eval It…

原文摘要:AI 工作流 have two needs that trade off directly. Running reliably in production requires persisting and distributing every step so it survives crashes, deploys, and restarts. B 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。