Generative models are one of the most important branches of modern artificial intelligence. Their main goal is to generate new data that closely resembles the original training data. These models are widely used in text generation, image synthesis, audio creation, and video production. Generative models rely on advanced techniques such as deep neural networks, including well-known approaches like Generative Adversarial Networks (GANs) and Transformer-based models. They play a significant role in enhancing human creativity, improving language translation systems, and supporting digital content creation. Moreover, generative models open new opportunities in education and scientific research, while raising important ethical considerations regarding their responsible use.