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Retrieval Augmented Generation for Natural Language Processing

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Natural Language Processing

Artificial Intelligence
Category=UYQ
Deep Learning
Dialog Systems
Encoder-Decoder Models
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forthcoming
Generative Pretraining
Information Retrieval
Large Language Models
Machine Learning
Machine Translation
Natural Language Understanding

Question Answering
RAG Systems
Retrieval-Augmented Generation
Text Summarization

Product details

  • ISBN 9781394336098
  • Publication Date: 19 Oct 2026
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
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About

Sachin Minocha, PhD is an Assistant Professor at Bennett University, Greater Noida, Uttar Pradesh, India. Before joining Bennett University, Dr. Minocha served as an Assistant Professor at Amity University, G.L. Bajaj Institute of Technology and Management, and Galgotias University, Greater Noida, Uttar Pradesh, India. He received his Ph.D. from the Department of Computer Science and Engineering, Sant Longowal Institute of Engineering and Technology, Punjab, India. Dr. Minocha holds 8 patents and 17 publications in conference proceedings, book chapters, and refereed journals including CAEE, JARS, Expert Systems, and CIBM. His research interests include machine learning, deep learning, nature-inspired optimization techniques, and hyperspectral imaging.

 

Malathy Sathyamoorthy, PhD is an Assistant Professor in the Department of Information Technology at the KPR Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India. She has published more than 25 research papers in international journals, 22 papers in international conferences, two patents, one book, and four book chapters. Her research focuses on wireless sensor networks, networking, security, and machine learning.

 

Rajesh Kumar Dhanaraj, PhD is a Professor at the Symbiosis International University in Pune, India. He has authored and edited more than 50 books on various cutting-edge technologies and more than 115 articles in international journals and conferences, and holds 22 patents. His research interests encompass machine learning, cyber-physical systems, and wireless sensor networks.

 

Mayank Kumar Goyal, PhD is an Associate Professor in the Department of Computer Science and Engineering at Sharda University. He has an extensive academic and research background, with more than 60 research papers and articles published in reputed international journals and conferences. His research interests span emerging technologies, innovation, artificial intelligence, cybersecurity, fintech, and intellectual property development.