Machine Learning/DL/LLM

Catalog description

This course offers a comprehensive introduction to machine learning (ML), deep learning (DL), and generative AI, preparing students to become informed users of these powerful technologies. The first half of the course focuses on classical ML techniques, while the second half is split between deep learning applications and the emerging field of generative AI, particularly large language models (LLMs). Students will explore key concepts like backpropagation to understand how models are updated with new data, and the differences between pretraining, fine-tuning, and alignment strategies, including Deep Policy Optimization (DPO) and Reinforcement Learning from Human Feedback (RLHF).