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Category: Machine learning

September 8, 2026Machine learning

Govern models with MLflow and Amazon SageMaker AI Model Registry sync: Part 1

Automating model registration between MLflow and a model registry solves a gap […]

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September 8, 2026Machine learning

Govern models with MLflow and Amazon SageMaker AI Model Registry sync: Part 2

Governing models across accounts is the natural next step once automatic model […]

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September 8, 2026Machine learning

Benchmarking small LLM inference on SageMaker AI: G7 vs G5 and G6

Choosing the right GPU instance for large language model (LLM) inference is […]

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September 8, 2026Machine learning

Automated agent evaluation with Amazon Bedrock AgentCore and GitHub Actions

Build a continuous integration and continuous delivery (CI/CD) quality gate that deploys […]

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September 8, 2026Machine learning

How DiDi built intelligent contact center QA with Amazon Bedrock

DiDi partnered with AWS to build an intelligent contact center quality assurance […]

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September 8, 2026Machine learning

How HPE Zerto built an agentic troubleshooting system with Amazon Bedrock

This post was co-written by AWS and the HPE Zerto team. If […]

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September 4, 2026Machine learning

Deploy a multimodal WhatsApp ordering assistant with Amazon Bedrock AgentCore

This post shows how to deploy a multimodal WhatsApp ordering assistant built […]

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September 4, 2026Machine learning

Designing lifecycle policies for AgentCore memory

Memory lifecycle policies help long-running agents on Amazon Bedrock AgentCore stay effective […]

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September 4, 2026Machine learning

How Intuit built an agentic disaster recovery assistant with Amazon Bedrock

Disaster recovery (DR) at scale is hard. When thousands of microservices span […]

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September 4, 2026Machine learning

Customizing your knowledge base on Amazon Bedrock for large and complex documents using Amazon Textract

For customer service teams handling thousands of utility bills each month, accurately […]

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