Build Generative AI Applications with Foundation Models - Amazon Bedrock - AWS

The easiest way to build and scale generative AI applications with foundation models

What is Amazon Bedrock?

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, DeepSeek, Luma, Meta, Mistral AI, poolside(coming soon), Stability AI, TwelveLabs (coming soon), Writer, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI. Using Amazon Bedrock, you can easily experiment with and evaluate top FMs for your use case, privately customize them with your data using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that execute tasks using your enterprise systems and data sources. Since Amazon Bedrock is serverless, you don't have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with.

How customers are innovating with generative AI on Amazon Bedrock

Amazon Bedrock demo

Watch this video to see Swami Sivasubramanian, Vice President of Data and AI at AWS, walk through a demo highlighting how you can create new customer experiences using Amazon Bedrock in your organization to build generative AI applications with your data.

poolside (coming soon)

poolside is specifically designed for software development workflows, helping large enterprises overcome the challenges of modern software engineering. Learn more.

TwelveLabs (coming soon)

TwelveLabs helps you unlock the full potential of your enterprise video assets. TwelveLabs uses multimodal FMs to bring humanlike understanding to video data. Learn more.

Create new pieces of original content, such as blog posts, social media posts, and webpage copy.

Build assistants that understand user requests, automatically break down tasks, engage in dialogue to collect information, and take actions to fulfill the request.

Search and synthesize relevant information to answer questions and provide recommendations from a large corpus of text and image data.

Get concise summaries of long documents such as articles, reports, research papers, technical documentation, and even books to quickly and effectively extract important information.

Quickly create realistic and visually appealing images for ad campaigns, websites, presentations, and more.

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