1. Introduction
3. 1: Get started
4. Project setup
5. Model configuration
7. 2: Build the transformer block
8. Feed-forward network
9. Causal masking
10. Multi-head attention
11. Layer normalization
12. Transformer block
14. 3: Assemble the model
15. Stacking transformer blocks
16. Language model head
18. 4: Generate text
19. Encode and decode tokens
20. Text generation
21. Load weights and run model