2025-2026 Undergraduate & Graduate Catalog [In Progress]
AI 431 - Natural Language Processing
The course covers fundamental concepts involved in the field of natural language processing. It focuses on different embedding and text representation techniques, transformer architectures, and objectives used in language models. It also provides understanding on how to pretrain and fine tune models, apply transfer learning techniques, and design real-world applications. Offered Fall and Winter semesters. Dual-listed with AI 531. Prerequisite: CIS 378.
Credits: 3