Building with Foundation Models on Amazon SageMaker Studio

SageMaker Studio Foundation Models Workshop Code

This is a workshop that focuses on building with Generative AI (Foundation Models) on SageMaker Studio - which helps walk users through

1. Building a Large Language Model (LLM) Playground on SageMaker Studio using SageMaker Jumpstart and Llama2 variants using Streamlit
2. Learn Prompt Engineering of LLMs using Studio Notebooks
3. Learn to build a Retrieval Augmented Generative (RAG) system at Scale using PySpark on Amazon EMR - learn to interact with this system using a prototype Streamlit UI
4. Fine-Tune Llama2 using Studio Notebook backed by accelerators or fine-tune as a training job using inferentia2 AWS Silicon
5. Evaluate your LLM using SageMaker Foundation Model Evaluation tool.

Workshop

The link to workshop and related instructions is available here: Building with Foundation Models on Amazon SageMaker Studio.

Pre-Requisites

You will need access to SageMaker Studio access to run this workshop successfully. If you'd like to run these labs within your AWS accounts, we recommend running workshop-cfn.yaml to setup the require infrastructure to run these labs.

Security

See CONTRIBUTING for more information.

License

This library is licensed under the MIT-0 License. See the LICENSE file.