Generative AI

 

In the ever-evolving world of AI, a unique variant of machine intelligence is rapidly breaking into software applications and mainstream use. In this chapter, we will explore generative AI, looking at how it differs from its traditional counterpart, and discuss how its rich creativity is changing the landscape of content creation, with a particular focus on generative adversarial networks and the battle for available training data.

First, to understand the strengths of generative AI, it’s important to understand how it differs from traditional AI. The first distinction between generative AI and traditional AI is found in their outputs. Traditional AI, which is sometimes referred to as discriminative AI, is trained to discriminate, classify, or predict based on input data fed into a model. This approach powers a variety of AI applications including recommendation systems and search engines. Generative AI, on the other hand, learns the underlying patterns...