Build Generative AI apps on Amazon ECS for SageMaker JumpStart

Introduction

The rise in popularity of Generative AI (GenAI) reflects a broader shift toward intelligent automation in the business landscape, which enables enterprises to innovate at an unprecedented scale, while adhering to dynamic market demands. While the promise of GenAI is exciting, the initial steps toward its adoption can be overwhelming. This post aims to demystify the complexities and offer guidance for getting started.

Amazon SageMaker Jumpstart provides you a convenient option to start your GenAI journey on AWS. It offers foundation models such as Stable Diffusion, FLAN-T5, and LLaMa-2, which are pretrained on massive amounts of data. Foundation models can be adapted to a wide variety of workloads across different domains such as content creation, text summarization etc. Amazon SageMaker Studio provides managed Jupyter notebooks, an interactive web-based interface to running live code and data analysis. Furthermore, you can fine-tune and deploy foundation models to Amazon …