Amazon Bedrock

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

Benefits

  • Amazon Bedrock offers an easy-to-use developer experience to work with a broad range of high-performing FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon. You can quickly experiment with a variety of FMs in the playground, and use a single API for inference regardless of the models you choose, giving you the flexibility to use FMs from different providers and keep up to date with the latest model versions with minimal code changes.

  • Privately customize FMs with your own data through a visual interface without writing any code. Simply select the training and validation data sets stored in Amazon Simple Storage Service (Amazon S3) and, if required, adjust the hyperparameters to achieve the best possible model performance.

  • Build agents that execute complex business tasks—from booking travel and processing insurance claims to creating ad campaigns, preparing tax filings, and managing your inventory—by dynamically calling your company systems and APIs. Amazon Bedrock's fully managed agents extend the reasoning capabilities of FMs to break down tasks, create an orchestration plan, and execute it.

  • With Knowledge Bases for Amazon Bedrock, you can securely connect FMs to your data sources for retrieval augmentation—from within the managed service—extending the FM’s already powerful capabilities and making it more knowledgeable about your specific domain and organization.

  • Amazon Bedrock offers several capabilities to support security and privacy requirements, and has achieved HIPAA eligibility and GDPR compliance. With Amazon Bedrock, your content is not used to improve the base models and is not shared with third-party model providers. Your data in Amazon Bedrock is always encrypted in transit and at rest, and you can encrypt the data using your own keys. You can use AWS PrivateLink with Amazon Bedrock to establish private connectivity between FMs and your Amazon Virtual Private Cloud (Amazon VPC) without exposing your traffic to the Internet.

Benefits

  • Amazon Bedrock offers an easy-to-use developer experience to work with a broad range of high-performing FMs from Amazon and leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, and Stability AI. You can quickly experiment with a variety of FMs in the playground, and use a single API for inference regardless of the models you choose, giving you the flexibility to use FMs from different providers and keep up to date with the latest model versions with minimal code changes.

  • Privately customize FMs with your own data through a visual interface without writing any code. Simply select the training and validation data sets stored in Amazon Simple Storage Service (Amazon S3) and, if required, adjust the hyperparameters to achieve the best possible model performance.

  • Build agents that execute complex business tasks—from booking travel and processing insurance claims to creating ad campaigns, preparing tax filings, and managing your inventory—by dynamically calling your company systems and APIs. Amazon Bedrock's fully managed agents extend the reasoning capabilities of FMs to break down tasks, create an orchestration plan, and execute it.

  • With Knowledge bases for Amazon Bedrock, you can securely connect FMs to your data sources for retrieval augmentation—from within the managed service—extending the FM’s already powerful capabilities and making it more knowledgeable about your specific domain and organization.

  • Amazon Bedrock offers several capabilities to support security and privacy requirements, and has achieved HIPAA eligibility and GDPR compliance. With Amazon Bedrock, your content is not used to improve the base models and is not shared with third-party model providers. Your data in Amazon Bedrock is always encrypted in transit and at rest, and you can encrypt the data using your own keys. You can use AWS PrivateLink with Amazon Bedrock to establish private connectivity between FMs and your Amazon Virtual Private Cloud (Amazon VPC) without exposing your traffic to the Internet.

Why 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, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications, simplifying development while maintaining privacy and security. With Amazon Bedrock’s comprehensive capabilities, you can easily experiment with a variety of top FMs, privately customize them with your data using techniques such as fine-tuning and retrieval augmented generation (RAG), and create managed agents that execute complex business tasks—from booking travel and processing insurance claims to creating ad campaigns and managing inventory—all without writing any code. 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.

Use Cases

  • 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, find, and synthesize relevant information to answer questions from a large corpus of data.

  • Get summaries of long documents such as articles, reports, and even books to quickly get the gist.

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

Use Cases

  • 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, find, and synthesize relevant information to answer questions from a large corpus of data.

  • Get summaries of long documents such as articles, reports, and even books to quickly get the gist.

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