AWS Machine Learning Blog
Category: Featured
Scaling Rufus, the Amazon generative AI-powered conversational shopping assistant with over 80,000 AWS Inferentia and AWS Trainium chips, for Prime Day
In this post, we dive into the Rufus inference deployment using AWS chips and how this enabled one of the most demanding events of the year—Amazon Prime Day.
Empowering everyone with GenAI to rapidly build, customize, and deploy apps securely: Highlights from the AWS New York Summit
See how AWS is democratizing generative AI with innovations like Amazon Q Apps to make AI apps from prompts, Amazon Bedrock upgrades to leverage more data sources, new techniques to curtail hallucinations, and AI skills training.
Build a custom UI for Amazon Q Business
Enable branded user experiences with specialized features like feedback handling and seamless conversation flows personalized for your use case and business needs.
Pre-training genomic language models using AWS HealthOmics and Amazon SageMaker
Pre-train HyenaDNA, a transformer model exceeding 1M tokens, using HealthOmics storage and SageMaker’s managed training environment to catalyze breakthroughs in precision medicine, agriculture, and biotechnology.
Amazon SageMaker now integrates with Amazon DataZone to streamline machine learning governance
Unlock ML governance with SageMaker-DataZone integration: streamline infrastructure, collaborate, and govern data/ML assets.
Accelerate software development and leverage your business data with generative AI assistance from Amazon Q
Enhance productivity, creativity, and data-driven innovation and insights through personalized AI applications tailored to your organization’s needs, with Amazon Q.