Large Language Models Course Syllabus
Table of contents
Course Description
This course explores the theory and practical applications of large language models in the field of artificial intelligence. Students will learn about the architecture, training techniques, and various applications of large language models, such as GPT-3 and its successors.
Assessment
- Assignments and quizzes
- Midterm examination
- Final project presentation and report
- Class participation
Prerequisites
- Proficiency in Python programming
- Basic understanding of machine learning and deep learning concepts
- Familiarity with natural language processing (NLP) fundamentals is recommended but not required.