AWS Machine Learning Blog
AWS Machine Learning Blog

AWS Machine Learning Blog

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The AWS Machine Learning Blog covers new features and best practices for machine learning on AWS. It provides technical guides for optimizing AI models, including fine-tuning Nova models and testing AI agents with ToolSimulator.

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Amazon Finance uses generative AI

Amazon Finance uses generative AI

27d

Automate schema generation for intelligent document processing

Automate schema generation for intelligent document processing

27d

Navigating EU AI Act requirements for LLM fine-tuning on Amazon SageMaker AI

Navigating EU AI Act requirements for LLM fine-tuning on Amazon SageMaker AI

27d

Introducing Claude Platform on AWS: Anthropic’s native platform, through your AWS account

Introducing Claude Platform on AWS: Anthropic’s native platform, through your AWS account

28d

Manufacturing intelligence with Amazon Nova Multimodal Embeddings

Manufacturing intelligence with Amazon Nova Multimodal Embeddings

28d

Halliburton enhances seismic workflow creation with Amazon Bedrock and Generative AI

Halliburton enhances seismic workflow creation with Amazon Bedrock and Generative AI

31d

Secure short-term GPU capacity for ML workloads with EC2 Capacity Blocks for ML and SageMaker training plans

Secure short-term GPU capacity for ML workloads with EC2 Capacity Blocks for ML and SageMaker training plans

32d

Overcoming reward signal challenges: Verifiable rewards-based reinforcement learning with GRPO on SageMaker AI

Overcoming reward signal challenges: Verifiable rewards-based reinforcement learning with GRPO on SageMaker AI

32d

Agents that transact: Introducing Amazon Bedrock AgentCore Payments, built with Coinbase and Stripe

Agents that transact: Introducing Amazon Bedrock AgentCore Payments, built with Coinbase and Stripe

32d

Cost effective deployment of vision-language models for pet behavior detection on AWS Inferentia2

Cost effective deployment of vision-language models for pet behavior detection on AWS Inferentia2

33d

How Hapag-Lloyd uses Amazon Bedrock to transform customer feedback into actionable insights

How Hapag-Lloyd uses Amazon Bedrock to transform customer feedback into actionable insights

34d

Streamlining generative AI development with MLflow v3.10 on Amazon SageMaker AI

Streamlining generative AI development with MLflow v3.10 on Amazon SageMaker AI

34d

Introducing OS Level Actions in Amazon Bedrock AgentCore Browser

Introducing OS Level Actions in Amazon Bedrock AgentCore Browser

34d

Secure AI agents with Amazon Bedrock AgentCore Identity on Amazon ECS

Secure AI agents with Amazon Bedrock AgentCore Identity on Amazon ECS

34d

Intelligence-driven message defense and insights using Amazon Bedrock

Intelligence-driven message defense and insights using Amazon Bedrock

34d

Beyond BI: How the Dataset Q&A feature of Amazon Quick powers the next generation of data decisions

Beyond BI: How the Dataset Q&A feature of Amazon Quick powers the next generation of data decisions

35d

Introducing agent quality optimization in AgentCore, now in preview

Introducing agent quality optimization in AgentCore, now in preview

35d

Introducing the agent quality loop: AgentCore Optimization now in preview

Introducing the agent quality loop: AgentCore Optimization now in preview

35d

Generate dashboards from natural language prompts in Amazon Quick

Generate dashboards from natural language prompts in Amazon Quick

35d

Amazon QuickSight adds S3 Tables support for direct Apache Iceberg queries

Amazon QuickSight adds S3 Tables support for direct Apache Iceberg queries

35d

Capacity-aware inference: Automatic instance fallback for SageMaker AI endpoints

Capacity-aware inference: Automatic instance fallback for SageMaker AI endpoints

35d

Self-Service Data Analytics with Amazon Quick on AWS

Self-Service Data Analytics with Amazon Quick on AWS

39d

Configuring Amazon Bedrock AgentCore Gateway for secure access to private resources

Configuring Amazon Bedrock AgentCore Gateway for secure access to private resources

39d

Applying multimodal biological foundation models across therapeutics and patient care

Applying multimodal biological foundation models across therapeutics and patient care

46d