Skip to main content

Introduction to Generative AI (360-0-20)

Instructors

Bradly Carson Stadie

Meeting Info

University Hall 102: Tues, Thurs 12:30PM - 1:50PM

Overview of class

This course will provide an introduction to generative AI. In particular, we will cover large language models and diffusion models. By the end of the course, students should have a thorough understanding of all major components underpinning modern large language models. In theory, students should be able to train their own large language models after taking this class.

Registration Requirements

Linear algebra (MATH 240), some familiarity with deep learning, Python experience

Teaching Method

Lectures

Evaluation Method

Two coding assignments, final in-class presentations

Class Materials (Required)

References to papers will be provided on the course GitHub page

Enrollment Requirements

Enrollment Requirements: Students must have completed STAT 320-2 and MATH 240-0 to enroll in this course.