AWS Official Blog
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 intelligence (generative AI) models to securely interact with information...
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, here’s AWS Hero Yan Cui starting his presentation at...
Today, we are announcing the general availability of Meta’s Llama 3 models in Amazon Bedrock. Meta Llama 3 is designed for you to build, experiment, and responsibly scale your generative artificial intelligence (AI) applications. New Llama 3 models are the most capable to support a broad range of use cases with improvements in reasoning, code generation,...
Today, I am happy to announce the general availability of Guardrails for Amazon Bedrock, first released in preview at re:Invent 2023. With Guardrails for Amazon Bedrock, you can implement safeguards in your generative artificial intelligence (generative AI) applications that are customized to your use cases and responsible AI policies. You can create...
With Agents for Amazon Bedrock, applications can use generative artificial intelligence (generative AI) to run tasks across multiple systems and data sources. Starting today, these new capabilities streamline the creation and management of agents: Quick agent creation – You can now quickly create an agent and optionally add instructions and action...
The Amazon Bedrock model evaluation capability that we previewed at AWS re:Invent 2023 is now generally available. This new capability helps you to incorporate Generative AI into your application by giving you the power to select the foundation model that gives you the best results for your particular use case. As my colleague Antje explained in her...
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