SDSU	CS 696 Applied Large Language Models Spring Semester, 2025 Lecture Notes	DCS
	To Course Web Site San Diego State University -- This page was last updated on 27-Mar-25

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This page contains links to lecture notes for the CS 696 Applied Large Language Models course. This page will be updated as more notes become available.

Lecture Notes By Topic

1. Course Introduction
2. NN Review
3. NN Review 2
4. Running Models
5. Tokens
6. Cluster, Embedding, Attention
7. News, Model, Attention
8. Reducing Heads
9. GPU Cluster, Attention, GPT Model
10. Attention, GPT Model, Training
11. Assignment 2
12. Training
13. Fine Tuning 1 Revised
14. Fine Tuning 2
15. Hooks, Continually Pre-train, DPO
16. DPO, DeepSeekMath, GRPO
17. Assignment 2, Performance Issues
18. News, Activation Steering, Performance Issues V2
19. Prompt Engineering

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Lecture Video By Date

Tuesday	Thursday
Jan 21 Course Introduction	Jan 23 NN Review
Jan 28 News, NN Review, Tokens	Jan 30 Tokens, Embeding
Feb 4 News, Model, Attention	Feb 6 Reducing Heads
Feb 11 GPU Cluster, Attention, GPT Model	Feb 13 GPU Cluster, Attention, GPT Model
Feb 18 Assignment 2	Feb 20 Training, Fine Tuning
Feb 25 Fine Tuning	Feb 27 Finetuning 2
Mar 4 Hooks, Continually Pre-train, DPO	Mar 6 DPO, DeepSeekMath, GRPO
Mar 11 Exam	Mar 13 Assignment 2, Performance Issues
Mar 18 News, Activation Steering, Performance Issues	Mar 20 News, Activation Steering, Performance Issues
Mar 25 Project Proposal	Mar 27 Prompt Engineering
Apr 1 Spring Break	Apr 3 Spring Break
Apr 8	Apr 10 Project Milestone
Apr 15	Apr 17
Apr 22	Apr 24
Apr 29	Apr 30
May 6	May 8 Last Class
May 13	May 15 Projects Due

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