AWS News Blog
Category: Amazon Machine Learning
Use Amazon Q Developer to build ML models in Amazon SageMaker Canvas
Q Developer empowers non-ML experts to build ML models using natural language, enabling organizations to innovate faster with reduced time to market.
Amazon Bedrock Guardrails now supports multimodal toxicity detection with image support (preview)
Build responsible AI applications – Safeguard them against harmful text and image content with configurable filters and thresholds.
New Amazon Bedrock capabilities enhance data processing and retrieval
Amazon Bedrock enhances generative AI data analysis with multimodal processing, graph modeling, and structured querying, accelerating AI application development.
Reduce costs and latency with Amazon Bedrock Intelligent Prompt Routing and prompt caching (preview)
Route requests and cache frequently used context in prompts to reduce latency and balance performance with cost efficiency.
Amazon Bedrock Marketplace: Access over 100 foundation models in one place
Discover, test, and use over 100 emerging, and specialized foundation models with the tooling, security, and governance provided by Amazon Bedrock.
Simplify analytics and AI/ML with new Amazon SageMaker Lakehouse
Unifying data silos, Amazon SageMaker Lakehouse seamlessly integrates S3 data lakes and Redshift warehouses, enabling unified analytics and AI/ML on a single data copy through open Apache Iceberg APIs and fine-grained access controls.
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.
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.