IT 390 (LLM Basics)
Spring 2026
Craig Miller
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- Basic Information
- Grades and Policies
- Schedule
Tentative Schedule
| Week | Topic | Reading | Assignment |
|---|---|---|---|
| M/A 31 & 2 | Course overview, supervised learning | Course notes, ch. 1 | |
| Apr 7 & 9 | Tokens, word-count vectors, similarity measures | Course notes and Ch. 2 | Assessment 1 |
| Apr 14 & 16 | Token representation | Ch. 2 | |
| Apr 21 & 23 | Multi-layers networks, backpropagation | Appendix A | Assessment 2 |
| Apr 28 & 30 | Architecture overview | Ch. 1 | |
| May 5 & 7 | Learning with attention | Ch. 3 | Assessment 3 |
| May 12 & 14 | Implementation | Ch. 4 | |
| May 19 & 21 | Training and testing | Ch. 5 | Assessment 4 |
| May 28 & 30 | Fine tuning | Ch. 6, 7 | Project proposal (no weekly report) |
| Jun 2 & 4 | Additional topics | TBD | Assessment 5 |
| Jun 11 | Project presentations (Thursday, 11:30am) |
Chapter and appendix references refer to the Raschka text.