For full details please refer to Workshop Studio: https://catalog.us-east-1.prod.workshops.aws/workshops/80ae1ed2-f415-4d3d-9eb0-e9118c147bd4
This workshop is set up following the popular AWS Immersion Day format. It means to provide guidance on how to get started with Generative AI on AWS. The Immersion Day is split up into the following four blocks, consisting of a theory section covered by slides as well of a hands-on lab each:
- Introduction Generative AI & Large Language Models, Large Language Model deployment & inference optimization
- Large Language Model finetuning
- Introduction Visual Foundation Models, deployment & inference optimization of Stable Diffusion
- Engineering GenAI-powered applications on AWS
Note that during an immersion day / workshop potentially only a subset of these topics might be covered.
The repository is structured as follows: The slides can be found in the GenerativeAIImmersionDayPresentationDeck.pdf residing on root level of the repository. Similarily, the labs can be found in respectively named directories:
- Lab 1 - Hosting Large Language Models can be found in the lab1 directory.
- Option 1: For GPT-J start with the notebook option-1-gpt-j-notebook-full.ipynb.
- Option 2: For Falcon40b-instruct start with the notebook falcon40b-instruct-notebook-full.ipynb.
- Lab 2 - Finetuning Large Language Models can be found in the lab2 directory. Start with the notebook fine-tuning.ipynb.
- Lab 3 - Hosting Stable Diffusion can be found in the lab3 directory. Start with the notebook JumpStart_Stable_Diffusion_Inference_Only.ipynb.
- Lab 4 - Building the LLM-powered chatbot "AWSomeChat" with retrieval-augmented generation. Start with the notebook rag-app.ipynb.
See CONTRIBUTING for more information.
This library is licensed under the MIT-0 License. See the LICENSE file.