OpenAI 官方动态：DevRev delivers autonomous self-service with GPT-6.1 Sol
原文摘要：DevRev uses GPT-6.1 Sol to power Computer and Operator, balancing reasoning, speed, and cost for enterprise service. 来源：OpenAI 官方动态。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。
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AWS Machine Learning 动态：Use decision models with Amazon Bedrock AgentCore 评测
原文摘要：Some agent-评测 questions are narrow and repeatable, and decision models answer exactly that kind of question. This post shows how to connect two decision models, Jev and Str 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：Smart Approvals in Amazon Quick: Human oversight where it matters
原文摘要：Smart Approvals in Amazon Quick reviews eligible agent actions within your existing controls, reducing unnecessary approval prompts while keeping consequential decisions with a per 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：How U Mobile built agentic telco operations with Amazon Bedrock AgentCore
原文摘要：U Mobile, Malaysia's newest 5G network provider, built AiDaH, an agentic AI operations platform on Amazon Bedrock AgentCore that moves beyond AI assistance to autonomous action acr 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：How Indegene is modernizing and scaling enterprise data quality in life sciences
原文摘要：This post explores how Indegene built a production-grade, LLM-powered Data Quality Agent in its NEXT Unified Data Platform on AWS. The agent generates context-aware data quality ru 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：Four layers of context engineering for production AI agents: How Deep Insight applies them i…
原文摘要：In production AI agents, context management is the real bottleneck. This post presents a four-layer context engineering framework (architecture, prompts, file-based tools, and veri 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。
MIT Technology Review AI：Securing the agentic enterprise with data lineage
原文摘要：A sales representative asks an AI agent for customer pricing, and the agent pulls data from multiple sources: restricted pricing systems, internal communications, and archived quot 来源：MIT Technology Review AI。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。