AWS Bedrock is a fully-managed service that provides LLM interactions and has models from lots of leading organisations. In my opinion, it's a great way to get started with LLMs if you're using AWS since there's no worry about infrastructure scaling.

This post is a short description of how to get AWS Bedrock responding to your Rust code. It's a simple example, but should point the way forward for more complex interactions.

AWS Lambda has supported custom runtimes using Docker images for a long time now. Any language that can run in Docker, can run in AWS Lambda. Therefore, we can write AWS Lambda functions in Rust - a fun, and fast, language.

This quick guide gets you deploying a Rust Lambda using the AWS CLI.

An Amazon Resource Name (ARN) uniquely identifies a thing in AWS. This is a quick recap on how they are structured.