Generative artificial intelligence is a subfield of artificial intelligence focused on developing systems capable of producing novel data instances, such as text, images, code, or sounds, that exhibit characteristics similar to the data on which they were trained. This research area investigates computational models, particularly deep learning architectures, designed to learn and replicate the underlying patterns and distributions of complex datasets, enabling the synthesis of original content. Its academic significance lies in advancing the understanding of data modeling and generation processes, leading to transformative applications across various domains including creative content generation, data augmentation, and interactive systems.