AIDA.3201 Large Language Models

Id: 042964 Credits: 3-3

Description

This course provides a machine-learning--centered introduction to the theory and technology behind large language models (LLMs). Building o prior exposure to LLM-based applications, students study sequence modeling, transformer architectures, training objectives, scaling laws, alignment methods, and evaluation challenges, and conclude the course with a team project. The course emphasizes mathematical intuition, algorithmic design, and system-level trade-offs rather then linguistic or symbolic AI concepts. Students develop the ability to analyze, evaluate, and reason about modern foundation models, preparing them for advanced AI coursework, research, and industry roles involving large-scale machine learning systems.

Prerequisites

AIDA.2205 Machine Learning.

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Course prerequisites/corequisites are determined by the faculty and approved by the curriculum committees. Students are required to fulfill these requirements prior to enrollment. For courses offered through online or GPS delivery, students are responsible for confirming with the instructor or department that all enrollment requirements have been satisfied before registering.