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Category: Machine learning

May 19, 2026Machine learning

Extending conversational memory in Kiro CLI using Amazon Bedrock AgentCore Memory

Agentic IDEs that forget what you told them in previous sessions aren’t […]

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May 19, 2026Machine learning

Scalable voice agent design with Amazon Nova Sonic: multi-agent, tools, and session segmentation

Design patterns for scalable voice agents matter for organizations that need to […]

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May 19, 2026Machine learning

Accelerate ML feature pipelines with new capabilities in Amazon SageMaker Feature Store

Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, […]

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May 19, 2026Machine learning

Implementing programmatic tool calling on Amazon Bedrock

Programmatic tool calling (PTC) is a paradigm shift in how large language […]

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May 18, 2026Machine learning

Prompting Amazon Nova 2 for content moderation

If you moderate user-generated content at scale, you need a system that […]

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May 18, 2026Machine learning

Aderant transforms cloud operations with Amazon Quick

This guest post is co-written by Angela Mapes and Adam Walker of […]

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May 18, 2026Machine learning

Integrate Atlassian Confluence Cloud with Amazon Quick

Teams can integrate Atlassian Confluence Cloud with Amazon Quick to search and […]

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May 18, 2026Machine learning

Build custom code-based evaluators in Amazon Bedrock AgentCore

Special thanks to everyone who contributed to this launch: Stephanie Yuan, Lefan […]

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May 15, 2026Machine learning

Restrict access to sensitive documents in your Amazon Quick knowledge bases for Amazon S3

Organizations that must restrict access to sensitive documents increasingly rely on AI-driven […]

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May 14, 2026Machine learning

Real-time voice agents with Stream Vision Agents and Amazon Nova 2 Sonic

This post was co-authored with Neevash Ramdial, Technical Marketing leader at Stream […]

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