Generative AI and Large Language Models: Opportunities, Challenges, and Applications: Volume 1

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Anis Koubaa Adel Ammar

Generative AI and Large Language Models

Opportunities, Challenges, and Applications: Volume 1

Anis Koubaa, Adel Ammar, Lahouari Ghouti , Wadii Boulila

$445.95 $356.62

Hardback

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English

Springer International Publishing AG
22 August 2025

Databases; Artificial intelligence; Natural language & machine translation

Series: Studies in Computational Intelligence

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.

Edited by: Anis Koubaa, Adel Ammar, Lahouari Ghouti, Wadii Boulila, Bilel Benjdira
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Volume: 1214
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783031905728
ISBN 10: 3031905725
Series: Studies in Computational Intelligence
Pages: 310
Publication Date: 22 August 2025
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Survey of AI Driven Advancements in Diagnosis and Clinical Decisions for Healthcare.- ArabianGPT An Arabic Language Adaptation of GPT 2.- Architectural Deep Dive into Large Language Models.- Architectural Deep Dive into Large Language Models.- Dual Stage Global and Local Feature Framework for Image Dehazing.-Diffusion Models in a Nutshell A Tutorial.- Enhancing Semantic Similarity Understanding in Arabic NLP with Nested Embedding Learning.