CS 410/510 Top: Large Language Models

Credit Hours:

4/3

Course Coordinator:

Ameeta Agrawal

Course Description:

This course delves into the cutting-edge domain large language models (LLMs), offering an in-depth exploration of their development, applications, and the ethical implications associated with their use. As LLMs redefine the landscape of artificial intelligence, understanding their intricacies becomes paramount. Students will gain both theoretical knowledge and hands-on experience in working with these models and critically assess their societal impact.

Prerequisites:

General understanding of artificial intelligence technologies, natural language processing, or machine learning concepts. Familiarity with Python programming is recommended.

Goals:

Upon successful completion of this class, students will be able to:

1. Understand the architecture and development of large language models
2. Explore the wide range of applications of these models
3. Analyze the ethical considerations and challenges related to large language models
4. Gain practical experience in using large language models for various tasks
5. Foster critical thinking and research skills in assessing the societal impact of these models

Textbooks:

There is no textbook for this course as the content is heavily drawn from most recent research papers and other materials available on the Web.

Major Topics:

• Capabilities
• Modeling and training
• Data
• Architectures
• Scaling laws
• Ethical implications
• Societal and environmental impact

Coursework:

Assignments, research paper presentations, group project.