Trace generative AI from GPT through transformer architectures and beyond

Large Language Models (LLMs) have evolved rapidly from general-purpose architectures to sophisticated transformer-based systems, yet technical references mapping this progression across domains remain scarce. Generative AI Architectures and Applications: Navigating the Evolution addresses this directly, covering LLM fundamentals alongside applications in image processing, speech recognition, natural language processing, and multimodal learning. The book examines both the technical advancements and ongoing challenges shaping these architectures.

Beyond core model architectures, the book explores the integration of generative AI with blockchain and IoT analytics, revealing convergence points that drive new capabilities. Detailed coverage traces the path from GPT to modern transformer designs, analyzing trade-offs and limitations at each stage. Readers gain structured insight into future directions, technical obstacles, and practical implications of deploying generative models across industries.

The book also covers:

• Generative adversarial networks (GANs) and their role in realistic content generation spanning text, image, music, and video production workflows and applications
• Multimodal learning frameworks that combine vision, language, and audio processing capabilities within unified generative model architectures
• Technical challenges associated with scaling LLMs, including computational demands, data requirements, and fundamental architectural constraints across deployments
• Applications of generative AI across healthcare, education, content production, design, and software development contexts and use cases
• Emerging convergence patterns between generative models and distributed technologies such as blockchain-based verification and IoT analytics systems

Designed for data scientists, professors, government officials, researchers, and software engineers, this volume provides the architectural depth and cross-domain perspective needed to evaluate generative AI systems critically. Whether assessing deployment feasibility or advancing research agendas, readers will find a structured, technically grounded reference for navigating the generative AI landscape.

Shilpa Mahajan, PhD, is an Associate Professor at the NorthCap University with over 19 years in research and education. A Certified Ethical Hacker (CEHv11) and Cisco Certified Instructor, she co-edited the Wiley-IEEE Press title Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection.

Garima Sharma, PhD, is accomplished academic, researcher, and technology educator with 10+ years of experience in teaching, curriculum development, research, and academic leadership. She serves as an Assistant Professor at the NorthCap University, Gurugram, and holds a PhD in Computer Science and Engineering, with specialization in Artificial Intelligence, Image Processing, and Facial Expression Recognition. Her research expertise spans AI/ML, Computer Vision, Cloud Computing, Blockchain, and Cybersecurity, with 15+ publications in reputed Scopus- and Web of Science-indexed journals and conferences, along with multiple published patents.

Vania V. Estrela, PhD, is a Professor with the Telecommunications Department of the Fluminense Federal University, Brazil, and an IEEE member. She is engaged in Humanitarian Engineering, Technology Transfer, and STEAM Education. She co-edited the Wiley-IEEE Press title Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection.

Mehak Khurana, PhD, is an accomplished academician, researcher, and Certified Ethical Hacker (CEH v11) with over 15 years of experience in teaching, research, and academic leadership in the domains of Cybersecurity and Information Security. She is currently serving as an Associate Professor at Canadian University Dubai. Previously, she was associated with Ahlia University, Bahrain, where she contributed significantly to the development of emerging areas in cybersecurity education and research. In recognition of her dedication to teaching and academic contribution, she received the Instructor One-Year Service Badge from Huawei ICT Academy.