AWS News Blog
Category: Artificial Intelligence
Amazon Bedrock adds reinforcement fine-tuning simplifying how developers build smarter, more accurate AI models
Amazon Bedrock now supports reinforcement fine-tuning delivering 66% accuracy gains on average over base models.
New serverless customization in Amazon SageMaker AI accelerates model fine-tuning
Accelerate AI model development with new training features that enable rapid recovery from failures and automatic scaling based on resource availability.
Introducing checkpointless and elastic training on Amazon SageMaker HyperPod
Accelerate AI model development with new training features that enable instant recovery from failures and automatic scaling based on resource availability.
Amazon Bedrock AgentCore adds quality evaluations and policy controls for deploying trusted AI agents
Deploy AI agents with confidence using new quality evaluations and policy controls—enabling precise boundaries on agent actions, continuous quality monitoring, and experience-based learning while maintaining natural conversation flows.
Amazon S3 Vectors now generally available with increased scale and performance
Scale vector storage and querying to new heights with S3 Vectors’ general availability—now supporting up to 1 billion vectors per index, 100ms query latencies, and expanded regional availability, while reducing costs up to 90% compared to specialized databases.
Amazon Bedrock adds 18 fully managed open weight models, including the new Mistral Large 3 and Ministral 3 models
Access fully managed foundation models from leading providers like Google, Kimi AI, MiniMax AI, Mistral AI, NVIDIA, OpenAI, and Qwen, including the new Mistral Large 3 and Ministral 3 3B, 8B, and 14B models through Amazon Bedrock.
Accelerate AI development using Amazon SageMaker AI with serverless MLflow
Simplify AI experimentation with zero-infrastructure MLflow that launches in minutes, scales automatically, and seamlessly integrates with SageMaker’s model customization and pipeline capabilities.
Amazon FSx for NetApp ONTAP now integrates with Amazon S3 for seamless data access
Access FSx for NetApp ONTAP file data through S3 to enable AI/ML workloads and analytics—letting you use enterprise file data with Bedrock, SageMaker, and analytics services while it remains in your file system.