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。
原文摘要：ChatGPT Ads has hit $1 billion in annualised revenue run rate in under 200 days, and OpenAI is expanding self-service ads to new regions. Tens of thousands of advertisers now use t 来源：AI 资讯。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。
原文摘要：Claude Fable 5.1 is now available on Amazon Bedrock and Claude Platform on AWS. This post covers Claude Fable 5.1's improvements, the Enterprise Frontier Safeguards for keeping you 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。
原文摘要：As generative AI adoption scales, cost governance becomes a top challenge. Learn how Jamf built real-time, per-user spend enforcement for Amazon Bedrock using IAM Customer Managed 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。
原文摘要：When Atos set out to upskill 400 engineers in agentic AI, hands-on learning was the missing ingredient. Over three days, engineers built multi-agent systems on AWS through an AI Le 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。
原文摘要：Boomi Scribe is an AI-powered agent on AWS that automatically generates documentation for enterprise integration 工作流. Learn how Boomi uses Amazon Bedrock, Amazon SageMaker AI 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。
原文摘要：Learn how ZS built a security-hardened Amazon SageMaker platform that balances 开发者 agility with healthcare-grade governance, serving 1,000+ daily active users across 200+ Sag 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。
原文摘要：t54 built x402-secure, a trust layer on Amazon Bedrock AgentCore payments that scores every endpoint before an autonomous agent pays it. See how session budgets, credential isolati 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。
原文摘要：Amazon Quick proof-of-concept projects often stall when security teams review the production plan. This post walks through designing dashboards, Spaces, knowledge bases, agents, an 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。
原文摘要：As AI adoption gathers pace, so does the evolution of the infrastructure that supports it. New standards and connectors keep appearing, and the ones that catch on spread through th 来源：AI 资讯。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。