Hands-on with Generative AI: Building your First Model

Generative AI has emerged as a transformative force in machine learning, enabling the creation of content ranging from text and images to audio and video. This paper explores the foundational elements of building a generative AI model from scratch, focusing on architectures such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). The research provides a hands-on guide, from data preparation to model training and evaluation. The goal is to equip developers and researchers with the knowledge to create their first generative AI model using open-source tools and datasets.