When:
Wednesday, September 3, 2025
9:30 AM - 4:00 PM CT
Where: Norris University Center, Big Ten Room, 1999 Campus Drive, Evanston, IL 60208 map it
Audience: Faculty/Staff - Student - Post Docs/Docs - Graduate Students
Contact:
Leticia Vega
Group: Northwestern IT Research Computing and Data Services
Category: Training
Do you have text data you need to classify? Are you lacking the time or money for research assistants to label a large number of examples to train a custom model? This workshop covers how to “fine-tune” an existing Large Language Model (LLM) to classify your own research text data. Fine-tuning helps you take advantage of a large model that other people with more resources and machine learning expertise already trained and use it for your project with relatively few labeled examples. That way you can accurately, reproducibly, and cost-effectively classify text data by topic, sentiment, or another concept.
Prerequisites: Basic familiarity with Python.