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Category: Machine learning

May 21, 2026Machine learning

Build AI-powered dashboard automation agents with NLP on Amazon Bedrock AgentCore

Business analysts often wait days for dashboard modifications when responding to changing […]

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May 21, 2026Machine learning

Announcing OpenAI-compatible API support for Amazon SageMaker AI endpoints

Today, Amazon SageMaker AI introduces OpenAI-compatible API support for real-time inference endpoints. […]

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May 20, 2026Machine learning

Multimodal evaluators: MLLM-as-a-judge for image-to-text tasks in Strands Evals

If you’re building visual shopping, image or document understanding, or chart analysis, […]

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May 20, 2026Machine learning

Build real-time voice applications with Amazon SageMaker AI and vLLM

Voice agents, live captioning, contact center analytics, and accessibility tools all depend […]

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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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