Recent Advances on Foundation Models | Graduate Course | University of Waterloo

Explore the latest developments in foundation models, a powerful machine learning technology, through this graduate-level course at the University of Waterloo.

Introduction

CS 886: Recent Advances on Foundation Models is a graduate-level course offered at the University of Waterloo that focuses on the latest developments in foundation models, which are large-scale machine learning models that can be applied to a wide range of tasks. The course covers topics such as text, vision, and multimodal foundation models, as well as their applications and the opportunities and risks associated with these models.

Highlights

• In-depth coverage of the latest research on foundation models
• Hands-on experience with building and evaluating foundation models through a course project
• Opportunities for students to present and discuss recent research papers
• Collaborative learning environment with a small class size

Recommendation

This course is recommended for graduate students and researchers interested in the field of machine learning, particularly those who want to stay up-to-date with the latest developments in foundation models. The course is also suitable for professionals working in industries that can benefit from the capabilities of foundation models, such as natural language processing, computer vision, and multimodal applications.