This book offers a clear definition of generative artificial intelligence, traces its origin, evolution and key milestones, and elaborates on the central role of deep learning in this field. It provides readers with a comprehensive and systematic learning path, covering everything from basic theories to cutting-edge applications, and from technical implementation to ethical considerations, offering a holistic introduction to all aspects of generative artificial intelligence. The book is suitable for students, researchers, technology developers, and anyone interested in artificial intelligence.

TAO Jianhua is a tenured professor in the Department of Automation at Tsinghua University and a recipient of prestigious honors, including the National Science Fund for Distinguished Young Scholars, the National Ten-Thousand Talent Program, and the Special Government Allowances of the State Council. His research focuses on affective computing, intelligent speech processing, pattern recognition, and related fields. He has published over 300 papers in leading domestic and international journals and conferences, including TPAMI, TASLP, TAFFC, and TSMCB.