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Four layers of context engineering for production AI agents: How Deep Insight applies them in working code

Favorite When production AI agents handle tasks such as data analysis and report generation, context management can become a major bottleneck. A 200K-token window sounds generous until a real-world task burns through most of it in minutes. Data analysis and report generation leave the agent failing mid-execution, losing accuracy, or

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Shared by AWS Machine Learning November 4, 2026

Introducing India-based inference for Kimi K3 on Amazon Bedrock

Favorite Kimi K3 is a multi-modal, open-weight foundation model (FM) that provider Moonshot AI reported achieved frontier-level coding and general agentic intelligence at release. In addition to global and US-based inference, Amazon Bedrock now supports in-country inference in India for Kimi K3: unblocking local workloads with strict data residency requirements.

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Shared by AWS Machine Learning November 3, 2026

Building ultra-low-latency voice AI applications on AWS

Favorite Conversational AI is transforming how humans interact with technology. From virtual assistants and AI-powered contact centers to real-time translation and accessibility tools, voice-first interfaces are rapidly becoming the default mode of interaction for millions of users worldwide. Yet delivering a truly natural voice experience remains one of the hardest

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Shared by AWS Machine Learning November 3, 2026

How Gen Digital built Norton Revamp’s AI-curated News Engine with Amazon Bedrock AgentCore Web Search

Favorite Your professional reputation now lives online first. Recruiters check LinkedIn before returning a call. Clients review your digital presence before booking a first meeting. For ambitious professionals, that shift is an opportunity: a well-crafted online voice can open doors that a résumé alone never could. But standing out takes

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Shared by AWS Machine Learning November 3, 2026