Generative AI is a subset of artificial intelligence that focuses on teaching machines to generate content that resembles human-created content. Unlike traditional AI, which is primarily used for tasks like classification and prediction, generative AI aims to create new data based on patterns it has learned from existing data. This technology has led to breakthroughs in various fields, including art, music, literature, and even scientific research.

At the heart of Generative AI are neural networks, which are computational models inspired by the human brain. These networks consist of interconnected nodes organized in layers, and they are trained on vast amounts of data to recognize patterns and generate new content. Generative models such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformers have revolutionized the way we approach creativity and problem-solving.