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CS 668 - Applied Large Language Models

CS 668: Applied Large Language Models (3 units) at San Diego State University. 1 section offered in Spring 2027, with meeting times, instructors, and seat counts. Prerequisites: CS 450 or CS 549 or consent of instructor. Counts toward Artificial Intelligence and Technology, M.S. (2026-27), Computational Science, Data Science Concentration, M.S. (2026-27).

3 units
  • Elective Courses (9 Units Selected From)
  • Elective Courses
  • Foundational AI Area of Study Elective Courses
  • Areas of Study
Offered: Summer 2027 (not offered), Spring 2027 (offered), Fall 2026 (unknown)

Counts toward

Large language Models (LLM), understanding how an LLM works, training and refining LLMs, preparing data to train an LLM, testing and debugging LLMS, hardening LLMs against attacks, prompt engineering
Prerequisites
CS 450 or CS 549 or consent of instructor
See the full prerequisite chain

From the catalog

Who can take it
CS 450 or CS 549 or consent of instructor
Grading
LCR: Letter Grade with Cr/NC available. The grading default for the class will be letter grade, but students can opt to take it for Cr/NC
Typically offered
Spring

1 section in Spring 2027

Class #10256· In-person · Open · Letter or CR/NC · Graduate
50 of 50 seats open
Tue, Thu 5:30 PM-6:45 PM · P 148

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