Advanced Generative AI. 4 Credit Hours

Catalog description

This 4-week elective provides a comprehensive introduction to Generative AI technologies with a specific focus on applications in medicine. Through structured morning lectures, interactive demonstrations, hands-on exercises, and assignments, students will explore fundamental concepts and practical applications of Large Language Models (LLMs). Topics include data structures, vectorization, tokens, encoding/decoding, sentence transformers, fine-tuning techniques (PEFT/LORA), retrieval augmented generation, multimodal applications (visual/audio), and critical considerations regarding bias and legal implications in medicine. This course is exclusively for MS in AI students in good standing who have completed Capstone I. Students will complete daily homework assignments and a final project. The course is pass/fail, with grading based on attendance, participation, assignment completion, and the final project. Must be a MD/MSAI dual degree student. Prerequisites: INTD 4011 .