A Beginner’s Guide to Generative AI: An Introductory Path to Diffusion Models, ChatGPT, and LLMs

Author:   Deepshikha Bhati ,  Fnu Neha ,  Angela Guercio ,  Md Amiruzzaman
Publisher:   Springer International Publishing AG
ISBN:  

9783031847233


Pages:   236
Publication Date:   22 July 2025
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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A Beginner’s Guide to Generative AI: An Introductory Path to Diffusion Models, ChatGPT, and LLMs


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Author:   Deepshikha Bhati ,  Fnu Neha ,  Angela Guercio ,  Md Amiruzzaman
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
ISBN:  

9783031847233


ISBN 10:   3031847237
Pages:   236
Publication Date:   22 July 2025
Audience:   General/trade ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction to Generative AI.- Evolution of Neural Networks to Large Language Models.- LLMs and Transformers.- The ChatGPT Architecture: An In-Depth Exploration of OpenAI.- Google Bard and Beyond.- Diffusion Model and Generative AI for Images.- Setting Up the Environment and Implementing LLMs.- ChatGPT Use Cases.

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Author Information

Deepshikha Bhati is a Lecturer in the Department of Computer Science at Kent State University. Prior to her current role, she built a strong foundation in both industry and academia, holding various teaching and research positions. Her academic journey includes deep expertise in generative AI LLM models, explainable AI (XAI), information visualization, image processing, deep learning (DL), and machine learning (ML). Ms. Bhati is a member of IEEE, the IEEE Computer Society, and ACM. Fnu Neha is a Ph.D. candidate in the Department of Computer Science at Kent State University, with over six years of experience in research and teaching, particularly in artificial intelligence (AI), deep learning, and databases. Her Ph.D. research focuses on developing deep learning techniques and AI-based software to analyze renal CT scans and correlate them with radiography and biopsy-based features for the accurate classification of small renal masses and subtypes of renal cell carcinoma (RCC). Angela Guercio, Ph.D., is an Associate Professor of Computer Science at Kent State University, where she has worked for 19 years. Prior to joining Kent State University, she served as an Assistant Professor at Hiram College for three years and as a Senior Research Associate at the University of Salerno, Italy, for 16 years. Her research interests include smart e-education and AI, big data, data mining, software engineering, visual languages, human-machine interaction, and multimedia computing. She has co-authored numerous papers published in scientific journals and refereed international conferences. Dr. Guercio has received multiple research awards and fellowships for her work. Dr. Guercio is a member of IEEE, the IEEE Computer Society, and ACM. Md Amiruzzaman, Ph.D., is an Assistant Professor in the Department of Computer Science at West Chester University. Before joining West Chester University, he worked as a software developer for almost 10 years for several companies. He has also held the position of Assistant Professor at Kent State University. In the past, he has worked as a Research Assistant at Sejong University and Korea University. His research interests include visual analytics of urban data, data mining, machine learning, deep learning, and data hiding. Aloysius Bathi Kasturiarachi, Ph.D. has been at Kent State University since 1995 as a faculty member in the Department of Mathematical Sciences. He teaches courses in mathematics and computer science. He won the Distinguished Teaching Award in 2001 and was a finalist in 2022. He is the recipient of numerous grants. He also served as the Associate Dean for Academic Affairs at Kent State University at Stark from August 2013 to January 2018.  His research interests include partial differential equations, non-integrable systems, numerical analysis, mathematics education, and number theory. He has published extensively in these areas. He is a member of MAA and AMS.

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