GENERATIVE AI: PRINCIPLES, TECHNIQUES AND INNOVATIONS
Generative AI: Principles, Techniques, and Innovations" offers a comprehensive exploration of the cutting-edge field of generative artificial intelligence. This book delves into the core principles behind generative models, including deep learning architectures such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformers. It covers key techniques in training and optimizing these models, alongside the latest advancements and innovations driving their application in areas like content generation, drug discovery, art creation, and synthetic data generation. Perfect for researchers, students, and AI practitioners, this book provides both theoretical foundations and practical insights into the exciting world of generative AI.