GENERATIVE AI-MODELS, METHODS AND EMERGING TRENDS
Generative AI: Models, Methods and Emerging Trends provides a comprehensive yet accessible exploration of the rapidly evolving world of generative artificial intelligence. This book introduces readers to foundational architectures such as GANs, VAEs, diffusion models, LLMs and multimodal systems, while also explaining cutting-edge training techniques, data pipelines, and evaluation methods. It highlights real-world applications across healthcare, robotics, business analytics, creative industries, and scientific research. With a strong focus on future directions—ethical AI, responsible deployment, open-source innovations, and the rise of autonomous agents—this book serves as an essential guide for students, researchers, and professionals seeking to understand the next wave of AI-driven transformation.