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Category: Machine learning

October 20, 2026Machine learning

Structured outputs for Anthropic Claude models on Amazon Bedrock

Amazon Bedrock now supports structured outputs for all Anthropic Claude models, on […]

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October 19, 2026Machine learning

Amazon SageMaker JumpStart: 2026 year-to-date in review

Amazon SageMaker JumpStart is a machine learning (ML) hub within Amazon SageMaker […]

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October 19, 2026Machine learning

How Deepgram optimized voice AI at scale with AWS Trainium

As voice becomes a first-class modality for AI, Deepgram’s models span speech-to-text, […]

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October 19, 2026Machine learning

Pegasus 1.5 from TwelveLabs is now available in Amazon Bedrock

On Oct 9, 2026 we announced the availability of TwelveLabs’ Pegasus 1.5 […]

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October 19, 2026Machine learning

Improve TTFT for multi-turn agentic workloads with bi-directional KV transfer in vLLM

Multi-turn agentic workloads build on accumulated context as an agent reasons, invokes […]

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October 19, 2026Machine learning

Push-based KV transfer to improve TTFT and TPOT for disaggregated inference in vLLM

vLLM is an open-source inference and serving engine for large language models […]

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October 16, 2026Machine learning

Building trust in AI agents: A production-ready evaluation framework with Amazon Bedrock AgentCore

The North Star Every organization racing to deploy AI agents faces the […]

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October 16, 2026Machine learning

Introducing Reflection Beam: an open-weight model for agentic coding on AWS

Reflection AI introduced Beam, an open-weight model for agentic coding and long-horizon […]

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October 15, 2026Machine learning

Meta’s Muse Spark Open now available in Amazon SageMaker JumpStart

Muse Spark Open, Meta’s coding-optimized open-weight model, is now available in Amazon […]

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October 15, 2026Machine learning

Trust in Depth: Giving agents more autonomy without losing control

In every conversation I have with enterprise leaders, they say the same […]

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