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Category: Machine learning

October 5, 2026Machine learning

Making Amazon Quick enterprise-ready: Automated, auditable cross-account resource promotion

Amazon Quick is Amazon’s agentic AI companion built for work. You build […]

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October 2, 2026Machine learning

Fine-tune a search agent with multi-turn RL on Amazon SageMaker AI

Search agents powered by large language models (LLMs) are transforming how enterprises […]

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October 2, 2026Machine learning

Add secure Web Search to Claude Desktop with Amazon Bedrock AgentCore

Claude Desktop on Amazon Bedrock provides powerful AI assistance, but without integrated […]

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October 2, 2026Machine learning

Sweep thousands of leases for compliance using Amazon Quick and the Adjudicated Query pattern

Checking tens of thousands of apartment leases against constantly changing state landlord-tenant […]

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October 1, 2026Machine learning

Serve live, governed data in AI-built apps with Amazon Quick

Quick Apps could already bring live data into an app from connectors […]

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October 1, 2026Machine learning

Build agent memory with NVIDIA NeMo Agent Toolkit and Amazon S3 Vectors

In my previous post: Building persistent memory for multi-agent AI systems with […]

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October 1, 2026Machine learning

Simplify dashboard drill-down with the Amazon Quick Sight hierarchy filter

Amazon Quick Sight is a fully managed, cloud-native business intelligence (BI) capability […]

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October 1, 2026Machine learning

Implementing Multi-Environment Access for Claude Platform on AWS

You need Claude Platform on AWS (CPonAWS) inference from three environments: production […]

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October 1, 2026Machine learning

Building ambient agents with Amazon Bedrock AgentCore: From event-driven signals to human-in-the-loop workflows

Teams that process documents at scale know the routine: files land in […]

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October 1, 2026Machine learning

Uplifting conversion across the acquisition funnel with personalization using contextual bandits on AWS

Generative AI has made it possible to produce large amounts of personalized […]

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