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Category: Machine learning

July 1, 2026Machine learning

Safely Releasing Frontier Models to Customers

It’s our goal for AWS to be the most secure place to […]

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June 30, 2026Machine learning

Introducing Claude Sonnet 5 on AWS: Anthropic’s most capable Sonnet model

Today, we’re excited to announce the availability of Anthropic’s most advanced Sonnet […]

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June 30, 2026Machine learning

Fine-tune Amazon Nova models for accurate email data extraction

The authors would also like to thank Karan Bhandarkar, Sue Cha, Yash […]

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June 30, 2026Machine learning

Building bilingual NER for cargo logistics with Amazon Bedrock

IBS Software’s Cargo system processes thousands of bilingual cargo logistics email messages […]

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June 30, 2026Machine learning

How Outpost VFX Uses AWS to Accelerate AI Model Training for Visual Effects

This post was co-written with Tim Chauncey and Dheeraj Bhadani of Outpost […]

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June 30, 2026Machine learning

Implementing resilience patterns with Amazon Bedrock and LLM gateway

Implementing resilience patterns for large language model (LLM) inference is critical as […]

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June 30, 2026Machine learning

Simplify multi-account access to Amazon Bedrock models with managed entitlements

Managing AI model access across dozens or hundreds of AWS accounts creates […]

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June 30, 2026Machine learning

Build generative UI for AI agents on Amazon Bedrock AgentCore with the AG-UI protocol

AI agents can do more than chat. With the right protocol, an […]

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June 29, 2026Machine learning

Implement a backup strategy for Amazon Quick Sight BI assets

Amazon Quick Sight is a core feature within Amazon Quick — an agentic, AI-powered digital […]

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June 29, 2026Machine learning

Debugging production agents with Amazon Bedrock AgentCore Observability

Production artificial intelligence (AI) agents can fail silently. They may return plausible […]

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