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Category: Machine learning

April 13, 2026Machine learning

How to build effective reward functions with AWS Lambda for Amazon Nova model customization

Building effective reward functions can help you customize Amazon Nova models to […]

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April 9, 2026Machine learning

The future of managing agents at scale: AWS Agent Registry now in preview

Now available through Amazon Bedrock AgentCore, use AWS Agent Registry to discover, […]

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April 9, 2026Machine learning

Understanding Amazon Bedrock model lifecycle

Amazon Bedrock regularly releases new foundation model (FM) versions with better capabilities, […]

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April 9, 2026Machine learning

Embed a live AI browser agent in your React app with Amazon Bedrock AgentCore

When you build AI-powered applications, your users must understand and trust AI […]

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April 9, 2026Machine learning

Introducing stateful MCP client capabilities on Amazon Bedrock AgentCore Runtime

Stateful MCP client capabilities on Amazon Bedrock AgentCore Runtime now enable interactive, […]

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April 8, 2026Machine learning

Reinforcement fine-tuning on Amazon Bedrock: Best practices

You can use reinforcement Fine-Tuning (RFT) in Amazon Bedrock to customize Amazon […]

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April 8, 2026Machine learning

Building intelligent audio search with Amazon Nova Embeddings: A deep dive into semantic audio understanding

If you’re looking to enhance your content understanding and search capabilities, audio […]

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April 8, 2026Machine learning

Human-in-the-loop constructs for agentic workflows in healthcare and life sciences

In healthcare and life sciences, AI agents help organizations process clinical data, […]

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April 8, 2026Machine learning

Customize Amazon Nova models with Amazon Bedrock fine-tuning

Today, we’re sharing how Amazon Bedrock makes it straightforward to customize Amazon […]

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April 7, 2026Machine learning

Manage AI costs with Amazon Bedrock Projects

As organizations scale their AI workloads on Amazon Bedrock, understanding what’s driving […]

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