Generative Ai and Large Language Models : Opportunities, Challenges and Applications
Koubaa, Anis (EDT); Ammar, Adel (EDT); Ghouti, Lahouari (EDT); Boulila, Wadii (EDT); Benjdira, Bilel (EDT)
Language: English
Published by Springer, 2025
- Hardcover
- Used

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- Title
- Generative Ai and Large Language Models : Opportunities, Challenges and Applications
- Author
- Koubaa, Anis (EDT); Ammar, Adel (EDT); Ghouti, Lahouari (EDT); Boulila, Wadii (EDT); Benjdira, Bilel (EDT)
- Publisher
- Springer
- Publication year
- 2025
- Condition
- As New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3031905725
- ISBN 13
- 9783031905728
This book provides a comprehensive exploration of the transformative impact of AI technologies across diverse fields. From revolutionizing healthcare diagnostics and advancing natural language processing for low-resource languages to enhancing software development and promoting environmental sustainability, this book explores the cutting-edge advancements and practical applications of generative AI and large language models (LLMs). With a focus on both opportunities and challenges, the book examines the architectural challenges of transformer-based models, the ethical implications of AI, and the importance of language-specific adaptations, particularly for low-resource languages like Arabic. It also highlights the role of AI in code development, multimodal applications, and its integration with intellectual property frameworks. This book is an essential resource for researchers, practitioners, and policymakers seeking to understand and harness the potential of AI to drive innovation and global progress.
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From the Back Cover
This book provides a comprehensive exploration of the transformative impact of AI technologies across diverse fields. From revolutionizing healthcare diagnostics and advancing natural language processing for low-resource languages to enhancing software development and promoting environmental sustainability, this book explores the cutting-edge advancements and practical applications of generative AI and large language models (LLMs). With a focus on both opportunities and challenges, the book examines the architectural challenges of transformer-based models, the ethical implications of AI, and the importance of language-specific adaptations, particularly for low-resource languages like Arabic. It also highlights the role of AI in code development, multimodal applications, and its integration with intellectual property frameworks. This book is an essential resource for researchers, practitioners, and policymakers seeking to understand and harness the potential of AI to drive innovation and global progress.
"About the title" may belong to another edition of this title.
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