Resources for API210

Elevating workflows with AWS Step Functions and generative AI

Generative AI is changing the way businesses operate, providing opportunities to accelerate innovation. LLMs provide customers with unique building blocks that would otherwise require extensive investment to build generative AI applications. In this session, discover how new capabilities in AWS Step Functions can make it easier to compose these building blocks into production grade applications. We will demonstrate how you can use Step Functions for orchestrating generative AI applications with Amazon Bedrock’s Foundation Models, prompt chaining, fine-tuning, and enriching with capabilities from over 220 AWS services using natural language.

Prompt chaining with AWS Step Functions

GitHub

This repository provides examples of using AWS Step Functions and Amazon Bedrock to build complex, serverless, and highly scalable generative AI applications with prompt chaining.

Generative AI workflow with human in the loop

GitHub

The sample provides an implementation of generative AI workflow with human approval process

Building Generative AI workflows with AWS Step Functions

Blog on optimized integrations for AWS Step Functions with Amazon Bedrock

Call third-party APIs

Documentation on invoking public HTTPS endpoints from Step Functions

Presented by:

Tanya Boiteau

Tanya Boiteau

Principal Product Manager, AWS Step Functions.

Uma Ramadoss

Uma Ramadoss

Solutions Architect @ AWS.