1. An Introduction to Generative AI:"Drawing" Data from Models

 In this chapter, we will dive into the various applications of generative models.

Before that, we will take a step back and examine how exactly generative models are different from other types of machine learning. The difference lies with the basic units of any machine learning algorithm: probability and the various ways we use mathematics to quantify the shape and distribution of data we encounter in the world.

In the rest of this chapter, we will cover:

- Application of AI

- Discriminative and generative models

- Implementing generative models

- The rules of probability

- Why use generative models?

- Unique challenges of generative models