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Amazon Bedrock

Artificial Intelligence

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

Experience Amazon Bedrock's managed AI models for simplified generative AI application development without code.

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Privacy & Security

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 with 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 the comprehensive capabilities of Amazon Bedrock, 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.


  • Choice of leading foundation models
  • Easy model customization with your data
  • Fully managed agents that dynamically invoke APIs to execute tasks
  • Native support for RAG to extend the power of FMs with proprietary data
  • Data security and compliance certifications


  • Choose from various FMs: You can access a variety of FMs from Amazon and leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, and Stability AI and quickly experiment with them in the playground. This range of FMs includes Amazon Titan, Jurassic-2, Claude 2, Command, Llama 2, and Stable Diffusion XL, which support different modalities including text, embeddings, and images.
  • Privately customize FMs: Use the Amazon Bedrock console to fine-tune models with your data for your company-specific tasks without writing code. Simply select the training and validation data sets stored in Amazon Simple Storage Service (Amazon S3) and, if required, adjust hyperparameters to achieve the best possible model performance.
  • Single API➔ Use a single API to perform inference, regardless of the model you choose. Having a single API provides the flexibility to use different models from different model providers and keep up to date with the latest model versions with minimal code changes.


  • Get your provider's API key: You can usually find the API key in the settings menu of your AI provider ➔ How to Find Your Amazon Bedrock Access Key
  • Add an AI Connection in Promptitude: In Promptitude, go to your AI Connections and click the New Connection button at the top right.
  • In the slide-over, choose your provider and name the connection (just use the provider name for starters). Then paste the API keys which you had copied in the previous step.
  • Click Save, and you're ready to create your first prompt!

Help Articles:

➔ What is Amazon Bedrock, and How Does it Work?

Understanding Anthropic Models: A Simple Guide

Understanding Meta Models: Llama 2

Understanding Cohere Models and How They Work

Understanding Amazon Titan Models: A Simple Guide

Understanding AI21 Labs Models and Their Functionality

  • Text Generation: Create new pieces of original content, such as blog posts, social media posts, and webpage copy.
  • Virtual Assistants: Build assistants that understand user requests, automatically break down tasks, engage in dialogue to collect information, and take actions to fulfill the request.
  • Search: Search, find, and synthesize relevant information to answer questions from a large corpus of data.
  • Text summarization: Get summaries of long documents such as articles, reports, and even books to quickly get the gist.

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