This workshop focuses on the basics of working with Large Language
Models (LLMs) as part of the research pipeline, including understanding
and interrogating the models themselves as well as interacting with
their generative capabilities. Specific topics will include: setting up
your own open-source LLM, fine-tuning LLMs, interacting with LLMs
programmatically via an API, and the basics of prompt engineering.
Prerequisites: This workshop is designed for researchers from all domains with prior
programming experience. Basic Python and command-line (shell) skills
are required.
Prior to attending this workshop participants should be able to:
- Load text data into Python
- Load Python libraries
- Work with different Python data structures (strings, lists, dictionaries)
- Implement control flow with for loops
- Use Pandas DataFrames (primarily: indexing and subsetting)
