AWS Generative AI – Amazon Bedrock, a new service that makes Foundation Models accessible via an API
With Bedrock’s serverless experience, you can get started quickly, privately customize FMs with your own data, and easily integrate and deploy them into your applications using the AWS tools and capabilities you are familiar with.
As CTO Werner Vogels introduces AWS has also entered into the Enterprise AI solutions race.
Dr. Werner Vogels, Amazon CTO and Swami Sivasubramanian, AWS VP of database, analytics, and ML, sit down to discuss the broad landscape of generative AI, why it’s not hype, and how AWS is democratizing access to large language and foundation models.
They announced here that they have launched Amazon Bedrock, a new service that makes FMs from AI21 Labs, Anthropic, Stability AI, and Amazon accessible via an API.
With Bedrock’s serverless experience, you can get started quickly, privately customize FMs with your own data, and easily integrate and deploy them into your applications using the AWS tools and capabilities you are familiar with (including integrations with Amazon SageMaker ML features like Experiments to test different models and Pipelines to manage your FMs at scale) without having to manage any infrastructure.
In this talk Akshay Saxena and David Marsh explain that Generative AI is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music.
It is powered by large models that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs). With generative AI on AWS, you can reinvent your applications, create entirely new customer experiences, drive unprecedented levels of productivity, and transform your business.
You can choose from a range of popular FMs, or use AWS services that have generative AI built in, all running on the most cost-effective cloud infrastructure for generative AI.
