WOLFcon 2024 - Understanding and Using AI Workflows with FOLIO

23 September 2024

Workshop

  1. Introduction to WOLFcon AI Pre-conference Workshop
  2. General Overview of AI and Machine Learning for Libraries
  3. Exploring Large Language Models
  4. Ethical Considerations on using AI and Machine Learning for Libraries
  5. FOLIO AI Use Cases
  6. Next Steps for Adopting AI and Machine Learning in FOLIO
  7. Recommended Resources for Further Learning

Prerequisites

Required

Please completed the following items before the workshop:

  1. Email (or signup first) your Github user name to jpnelson@stanford.edu
  2. After receiving your Github user name, you'll be added as a collaborator on the following repositories related to the course:
  3. Ensure you can access at least two of the following LLM services (may require creating an account):
  4. 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:

  1. Clone the edge-ai repository: git clone https://github.com/folio-labs/edge-ai.git
  2. Clone the ai-workflows repository: git clone https://github.com/folio-labs/ai-workflows.git
  3. Install Docker Desktop with at least 10 GB of memory to run Airflow.
  4. Download and install gpt4all; download a Llama-based model.