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:
- Applications of AI
- Discriminative and generative models
- Implementing generative models
- The rules of probability
- Why use generative models?
- Unique challenges of generative models
