The Evolution and Future of Generative AI From Theory to Practice

About this book

The book traces the evolution of Generative AI from foundational theories to practical applications across various industries. It explains key technologies such as neural networks, Variational Autoencoders (VAEs), and Generative Adversarial Networks (GANs). The book explores applications in art, entertainment, healthcare, natural language processing, and scientific research. It also examines ethical, social, and technical challenges, including bias, misinformation, and responsible AI deployment. Finally, it discusses emerging trends and the future potential of Generative AI in enhancing human creativity and innovation.