AWS News Blog
Category: HAQM SageMaker Studio
Introducing Llama 3.2 models from Meta in HAQM Bedrock: A new generation of multimodal vision and lightweight models
Pushing the boundaries of generative AI, Meta unveils Llama 3.2, a groundbreaking language model family featuring enhanced capabilities, broader applicability, and multimodal image support, now available in HAQM Bedrock.
Introducing HAQM Q Developer in SageMaker Studio to streamline ML workflows
Streamline your ML workflows with this generative AI assistant providing tailored guidance, code generation, and error troubleshooting, to build, train, and deploy models efficiently.
AWS Weekly Roundup: Anthropic’s Claude 3 Opus in HAQM Bedrock, Meta Llama 3 in HAQM SageMaker JumpStart, and more (April 22, 2024)
AWS Summits continue to rock the world, with events taking place in various locations around the globe. AWS Summit London (April 24) is the last one in April, and there are nine more in May, including AWS Summit Berlin (May 15–16), AWS Summit Los Angeles (May 22), and AWS Summit Dubai (May 29). Join us […]
HAQM SageMaker Studio adds web-based interface, Code Editor, flexible workspaces, and streamlines user onboarding
Today, we are announcing an improved HAQM SageMaker Studio experience! The new SageMaker Studio web-based interface loads faster and provides consistent access to your preferred integrated development environment (IDE) and SageMaker resources and tooling, irrespective of your IDE choice. In addition to JupyterLab and RStudio, SageMaker Studio now includes a fully managed Code Editor based […]
Package and deploy models faster with new tools and guided workflows in HAQM SageMaker
I’m happy to share that HAQM SageMaker now comes with an improved model deployment experience to help you deploy traditional machine learning (ML) models and foundation models (FMs) faster. As a data scientist or ML practitioner, you can now use the new ModelBuilder class in the SageMaker Python SDK to package models, perform local inference […]