Category: Launch

Updated 8 May 2024: I updated the command to collect RUBYGEMS_HOST to suppress the trailing / Ruby developers can now use AWS CodeArtifact to securely store and retrieve their gems. CodeArtifact integrates with standard developer tools like gem and bundler. Applications often use numerous packages to speed up development by providing reusable code for common […]

Amazon Titan foundation models (FMs) offer a comprehensive suite of pre-trained image, multimodal, and text models accessible through a fully managed API. They’re designed for a range of applications while adhering to responsible AI practices.

Amazon Q Business is now available with many new features, including custom plugins, and a preview of Amazon Q Apps, generative AI–powered customized and sharable applications using natural language in a single step for your organization.

This generative AI–powered assistant helps developers build applications on AWS, research best practices, perform troubleshooting, and resolve errors.

* 20 August: Code snippet in the post has been updated * In November 2023, we made two new Cohere models available in Amazon Bedrock (Cohere Command Light and Cohere Embed English). Today, we’re announcing the addition of two more Cohere models in Amazon Bedrock; Cohere Command R and Command R+. Organizations need generative artificial […]

This was a busy week for Amazon Bedrock with many new features! Using GitHub Actions with AWS CodeBuild is much easier. Also, Amazon Q in Amazon CodeCatalyst can now manage more complex issues. I was amazed to meet so many new and old friends at the AWS Summit London. To give you a quick glimpse, […]

The instruction-tuned large language models have been pre-trained on over 15 trillion tokens of data—a training dataset seven times larger than that used for Llama 2 models.

With Guardrails for Amazon Bedrock, you can implement safeguards in your generative artificial intelligence applications that are customized to your use cases and responsible AI policies.