Category: Generative AI

Amazon Bedrock Studio accelerates the development of generative AI applications by providing a rapid prototyping environment with key Amazon Bedrock features, including Knowledge Bases, Agents, and Guardrails.

Foundational models (FMs) are trained on large volumes of data and use billions of parameters. However, in order to answer customers’ questions related to domain-specific private data, they need to reference an authoritative knowledge base outside of the model’s training data sources. This is commonly achieved using a technique known as Retrieval Augmented Generation (RAG). […]

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 […]

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.