Generative AI Foundations

This book provides readers with a thorough introduction to the field of generative artificial intelligence, covering everything from basic ideas to sophisticated applications and moral dilemmas. It starts by defining generative artificial intelligence (AI), outlining the development of AI and machine learning, and examining how these models function in various fields, including code creation, text, images, audio, and video. The book delves into the fundamental technologies that underpin today's generative systems, including neural networks, GANs, diffusion models, VAEs, transformers, and reinforcement learning methods. There includes extensive discussion of real-world applications across sectors such virtual environments, corporate automation, gaming, and content production. The book also addresses important legal, social, and ethical topics, such as deepfakes, AI prejudice, and international rules. Lastly, it discusses new developments, the changing social role of AI, human-AI cooperation, and real-world case studies as it looks to the future of generative AI. This book, which is intended for professionals, students, and amateurs alike, is an invaluable tool for comprehending and navigating the quickly expanding subject of generative artificial intelligence.