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WOLFcon 2024 AI Preconference

Workshop website is live at https://sul-dlss-labs.github.io/wolfcon-2024-ai-workshop/

Prerequisites

Required

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!)

Optional

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.