دانلود کتاب مدل‌های زبانی بزرگ (برای کاربردهای حیاتی)

Today the rapid advancement of Large Language Models (LLMs) is transforming the landscape of artificial intelligence, redefining how machines understand, generate, and interact with human language. From applications like agriculture, healthcare, transportation, finance to law, cybersecurity, and public governance, today LLMs are increasingly being used in various domains where accuracy, reliability, and ethical responsibility are essential. This book series titled “Large Language Models for Critical Applications” aims to discuss the opportunities, challenges, and implications of integrating LLMs in critical LLMs are increasingly highlighting the need for advancements and innovations that ensure the responsible use of critical applications in today’s smart, AI-driven era. This book series titled “Large Language Models for Critical Applications” explores the opportunities, challenges, and implications of deploying LLMs in critical environments. As LLMs become more widespread, there is a growing need for innovations that ensure their safe and responsible use in today’s AI-driven world. While LLMs demonstrate remarkable capabilities in natural language processing and generation, their application in critical domains requires careful consideration. Various issues such as model hallucination, bias, explainability, data privacy, and security vulnerabilities pose significant risks if not properly addressed. So, this series emphasizes not only on the technical foundations of LLMs but also on the frameworks, methodologies, and safeguards necessary to ensure trustworthy and responsible deployment. Each volume in this series brings together contributions from researchers, practitioners, and domain experts, offering interdisciplinary views on designing, evaluating, and implementing LLM-driven systems. Topics covered include robust model architectures, domain adaptation, human-in-the-loop systems, regulatory compliance, and ethical AI practices. This book series also includes real-world case studies and practical insights to bridge the gap between theory and application. Hence, the objective of this series is to provide a comprehensive resource for academicians, industry professionals, policymakers, and students seeking to understand the potential of LLMs and their convergence with critical application domains. We hope this series will serve as a valuable platform for advancing research and guiding the responsible use of LLMs in shaping the future of critical applications.