Generative AI, short for Generative Artificial Intelligence, is a cutting-edge subset of artificial intelligence (AI) that focuses on creating systems capable of producing new, original content. Unlike traditional AI systems that rely on pre-programmed rules or patterns, GenAI utilizes machine learning techniques to understand and replicate data patterns, enabling it to generate novel content across various domains such as text, images, audio, and more. At the heart of GenAI is the concept of generative models, algorithms designed to learn and mimic the underlying structures of a given dataset. These models can then produce new instances of data that closely resemble the examples they were trained on. One of the key breakthroughs in GenAI has been the development of generative models such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).