
A Beginner's Guide to Generative AI by Deepshikha Bhati
In addition, real-world applications of generative AI across various industries are explored including healthcare innovations, business analytics, and legal technology, and the authors provide practical insights and examples that show how generative AI is revolutionizing these fields.-
Science Fiction Prototyping
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The Journey of Large Language Models and Retrieval-Augmented Generation Systems
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The Promise and Peril of AI
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On Raising a Digital Human
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Building Ethical and Secure AI
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Integration of AI Theory and Applications in Diverse Industries
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Neural Symbolic Knowledge Graph Reasoning
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Metareasoning for Robots
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Influence Models in Group Decision-Making
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Smart City Standardization
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Graph Mining
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Analytical Performance Modeling for Computer Systems, Third Edition
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Storing Clocked Programs Inside DNA
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Blockchain Platforms
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Automated Verification of Concurrent Search Structures
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Introduction to Logic, Third Edition
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An Introduction to Programming Languages: Simultaneous Learning in Multiple Coding Environments
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Introduction to Logic
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Societal Impacts of Artificial Intelligence and Machine Learning
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Advances in Human Activity Detection and Recognition (HADR) Systems
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Coding Examples from Simple to Complex
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Transforming Healthcare with Artificial Intelligence
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Human-Centric AI with Common Sense
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Safe Autonomy with Control Barrier Functions
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Creating Autonomous Vehicle Systems, Second Edition
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Principles of Blockchain Systems
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.
| SKU | Unavailable |
| ISBN 13 | 9783031847233 |
| ISBN 10 | 3031847237 |
| Title | A Beginner's Guide to Generative AI |
| Author | Deepshikha Bhati |
| Series | Synthesis Lectures On Computer Science |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer International Publishing AG |
| Year published | 2025-08-07 |
| Number of pages | 225 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |

























