Applications of Generative AI by Zhihan Lyu
This book provides a comprehensive introduction to Generative AI in terms of basic concepts, core technologies, technical architecture, and application scenarios. Readers gain a deeper understanding of the emerging discipline of Generative AI. This book covers the latest cutting-edge application technologies of Generative AI in various fields. It provides relevant practitioners with ideas to solve problems and deepen their understanding of Generative AI. At the same time, it guides and helps Generative AI and related industries to deepen their understanding of the industry and enhance professional knowledge and skills. Starting from reality, this book lists many cases and analyzes theories in a popular image. Generative AI is a class of Artificial Intelligence (AI) models. At the time of writing these lines, GAI models’ cores are mainly based on Generative Adversarial Networks (GANs) and Transformer based models such as GPT-3, GPT-3.5 and GPT-4. GAI applications can be classified as open-source, private, and closed-source GAI. Open source is more relevant to specific enterprise needs and applications, whereas private and closed-source GAI are more general-oriented solutions to AI based on Large Language Models (LLM).
