Fine-tune and deploy language models with Amazon SageMaker Canvas and Amazon Bedrock

Improving inclusion and accessibility through automated document translation with an open source app using Amazon Translate

Build private and secure enterprise generative AI apps with Amazon Q Business and AWS IAM Identity Center

Develop and train large models cost-efficiently with Metaflow and AWS Trainium

Knowledge Bases in Amazon Bedrock now simplifies asking questions on a single document

Evaluate the text summarization capabilities of LLMs for enhanced decision-making on AWS

Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support

Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks

Distributed training and efficient scaling with the Amazon SageMaker Model Parallel and Data Parallel Libraries

Manage your Amazon Lex bot via AWS CloudFormation templates