Part 1: Leveraging Existing Models

Part 1 covers some of the key building blocks behind the generative models we just saw in action.

Chapter 1 introduces transformer models, which… TODO

Chapter 2 introduces some key ideas around representation learning, which is a key component of many generative models.

Chapters 3 and 4 cover a more recent type of model called a diffusion model. Chapter 3 introduces the core ideas, and Chapter 4 explores a specific model called Stable Diffusion.

We’ll build on all of these pieces in Part 2 and Part 3.

TODO: - Refine - Link to chapters

NB: This doesn’t have to be long, just a short <1 page intro to the part.