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Generative AI And Large Language Models
Paperback
€33.34
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- Book Synopsis
- Generative AI is a groundbreaking form of artificial intelligence that swiftly creates contest in response to prompts. The book offers a comprehensive and academically structured introduction to Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs). It presents the fundamental concepts, mathematical intuition, and architectural principles behind modern generative AI technologies in a clear and systematic manner. The book covers key topics such as transformers, large language models, prompt engineering, retrieval augmented generation, generative adversarial networks, diffusion models, multimodal AI, vision language models, and synthetic data generation. Rather than focusing on heavy programming or complex implementation, the book emphasizes conceptual understanding, theoretical depth, and system-level thinking, making advanced AI topics accessible to learners and researchers. Through well-organized chapters and structured explanations, the book helps readers understand how generative models learn, generate content, and solve real-world problems across text, image, and multimodal domains. It also discusses evaluation techniques, ethical considerations, bias, and the future directions of generative AI, enabling students to develop a responsible and research-oriented perspective toward AI technologies. Overall, the book builds a strong foundation in the principles and architectures of generative AI systems.
- About The Author
- He is an Associate Professor of Computer Science at Guru Tegh Bahadur 4th Centenary Engineering College (Affiliated to Guru Gobind Singh Indraprastha University). With more than 20 years of experience in teaching, research, and academic administration, she holds a Ph.D. in Computer Science with a specialization in Recommender Systems, along with an M.Tech in Data Science. Her core teaching areas include Artificial Intelligence, Machine Learning, Data Mining, and Data Science. She has a strong research orientation with numerous publications in reputed Scopus-indexed journals and Springer conference proceedings. Her research interests include healthcare analytics, feature optimization, recommender systems, and predictive modelling.
- Product Details
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- ISBN
- 9789379291820
- Format
- Paperback
- Publisher
- PHI Learning, (18 May 2026)
- Number of Pages
- 272
- Weight
- 350 grams
- Language
- English
- Dimensions
- 240 x 160 mm
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