AWS News Blog
Category: Artificial Intelligence
Introducing the next generation of Amazon SageMaker: The center for all your data, analytics, and AI
Unify data engineering, analytics, and generative AI in a streamlined studio with enhanced capabilities of Amazon SageMaker.
Amazon Q Business is adding new workflow automation capability and 50+ action integrations
Amazon Q Business extends productivity with generative AI-powered workflow automation capability and 50+ actions for enterprise efficiency, enabling seamless task execution across tools like ServiceNow, PagerDuty, and Asana.
New capabilities from Amazon Q Business enable ISVs to enhance generative AI experiences
New Amazon Q Business capabilities help ISVs integrate with the Amazon Q index to retrieve data from multiple sources through a single API and customize the design of their Amazon Q embedded assistant.
Introducing Amazon Nova foundation models: Frontier intelligence and industry leading price performance
Amazon Nova foundation models deliver frontier intelligence and industry leading price-performance, with support for text and multimodal intelligence, multimodal fine-tuning, and high-quality images and videos.
Introducing multi-agent collaboration capability for Amazon Bedrock (preview)
With multi-agent collaboration on Amazon Bedrock, developers can build, deploy, and manage multiple specialized agents working together seamlessly to tackle more intricate, multi-step workflows.
Prevent factual errors from LLM hallucinations with mathematically sound Automated Reasoning checks (preview)
Enhance conversational AI accuracy with Automated Reasoning checks – first and only gen AI safeguard that helps reduce hallucinations by encoding domain rules into verifiable policies.
Build faster, more cost-efficient, highly accurate models with Amazon Bedrock Model Distillation (preview)
Easily transfer knowledge from a large, complex model to a smaller one.
Amazon EC2 Trn2 Instances and Trn2 UltraServers for AI/ML training and inference are now available
With 4x faster speed, 4x more memory bandwidth, 3x higher memory capacity than predecessors, and 30% higher floating-point operations, these instances deliver unprecedented compute power for ML training and gen AI.