SDSU CS 668 Applied Large Language Models
Spring Semester, 2026
Lecture Notes 		DCS
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San Diego State University -- This page was last updated on 12-Mar-26
This page contains links to lecture notes for the CS 668 Applied Large Language Models course. This page will be updated as more notes become available.

Lecture Notes By Topic
  1. Course Introduction
  2. RAG Preliminaries
  3. Rag
  4. Rag 2
  5. Tools, Skills, Agents
  6. Agents
  7. More MCP
  8. NN Review
  9. Assignment 1 p2
  10. NN Review 2
  11. Transformer Overview
  12. Part 3 & More Attention
  13. Cluster, Scaling, Attention
  14. Attention, GPT Model
  15. Pre-Training
  16. Fine-Tuning
  17. News, Context Rot, LoRA, Unsloth
  18. Fine-Tuning, Hooks, Continually Pre-train
Lecture Video By Date
Tuesday Thursday
Jan 20 Jan22 RAG Preliminaries
Jan 27 Rag Jan 29 Rag 2
Feb 3 Tools, Skills, Agents Feb 5 Agents
Feb 10 MCP, NN Review Feb 12 Assignment 1 p2, NN Review
Feb 17 Transformer Overview Feb 19 Part 3, Transformer
Feb 24 Cluster, Scaling, Attention Feb 26 Attention, GPT Model
Mar 3 Pre-Training Mar 5 Fine-Tuning
Mar 10 News, Context Rot, LoRA, Unsloth Mar 12 Fine-Tuning, Hooks, Continually Pre-train
Mar 17 Exam Mar 19
Mar 24 Mar 26 Project Proposal's Due
Mar 31 Spring Break Apr 2 Spring Break
Apr 7 Apr 9
Apr 14 Apr 16
Apr 21 Project Milestone Due Apr 23
Apr 28 Apr 30
May 5 May 7 Exam
May 12 Project Due May 14