Workshop website is live at https://sul-dlss-labs.github.io/wolfcon-2024-ai-workshop/
Please completed the following items before the workshop:
- Email (or signup first) your Github user name to jpnelson@stanford.edu
- After receiving your Github user name, you'll be added as a collaborator on the following repositories related to the course:
- Ensure you can access at least two of the following LLM services (may require creating an account):
- Go to the following wiki page and select at least two of the use-cases you are interested in exploring. Rank your choices. (If you would like to add an AI use case that isn't listed, add a new wiki page but be prepared for follow-up questions!)
For those participants who are more technically inclined, the following items are optional but would allow for greater engagement and increase the utility of the workshop:
- Clone the edge-ai repository:
git clone https://github.com/folio-labs/edge-ai.git
- Clone the ai-workflows repository:
git clone https://github.com/folio-labs/ai-workflows.git
- Install Docker Desktop with at least 10 GB of memory to run Airflow.
- Download and install gpt4all; download a Llama-based model.