Instructor: Sungwoong Kim
Time: Tue 12:00 - 14:45 (break time: 13:15 - 13:30)
Room: Jung Woonoh IT & General Education Center, 609
Contact: swkim01@korea.ac.kr or LMS
Recently, language models for natural language processing have been extensively used and has brought significant attention to the AI field. For example, chatbots based on large language models such as ChatGPT have become the most widely used AI systems in the world. Basically, through natural language processing, AI agent can communicate deeply and tightly with a human, leading to a massive amount of real applications. Therefore, natural language processing is one of the most important topics especially in recent and future AI. This course will introduce an overview of natural language processing and recent representative tasks, algorithms, and architectures, including large language models.
Throughout the course, students will learn the backgrounds of natural language processing and understand the key factors in cutting-edge algorithms for natural language processing. In particular, the course will cover the current trend based on large-scale language models and alignment with human values. Eventually, the course aims students to have enough knowledge and moreover an insight for the corresponding researches.
Basic knowledge in calculus, linear algebra, probability, machine learning, and deep learning is required.
Lecture notes will be the main material of the course, and these do not come from a single textbook.Â
Participation (20%)
Attendance (20%)
Midterm exam (30%)
Final exam (30%)