About the Book
Large Language Models (LLMs) represent a groundbreaking evolution in the field of artificial intelligence, blending theory, practice, and future potential to reshape industries and human-computer interaction. At the theoretical level, LLMs are rooted in deep learning architectures, which allow them to process and generate natural language with fluency. In practice, they transform sectors like healthcare, education, customer service, and content creation, by automating tasks, providing insights, and enhancing user experiences. However, the use of LLMs also brings challenges, like ethical concerns regarding bias, misinformation, and data privacy, alongside technical issues like computational costs. The future of LLMs may focus on improving their efficiency, addressing ethical dilemmas, and integrating them into specialized applications. As research progresses, LLMs may become more adaptable, intelligent, and integrated into daily life, with the potential to redefine human-machine collaboration. Theory, Practice, and Future Direction of Large Language Models explores the transformative power of large language models (LLMs) by delving into their theoretical foundations, practical applications, and future potential. It showcases an array of applications across industries, demonstrating how LLMs solve real-world problems, enhance productivity, and drive innovation in fields like healthcare, finance, education, and entertainment. This book covers topics such as ethics and bias, robotics, and task automation, and is a useful resource for business owners, computer engineers, academicians, researchers, and data scientists.
About the Author :
Yassine Maleh is an associate professor of cybersecurity and IT governance at Sultan Moulay Slimane University, Morocco. He is the founding chair of IEEE Consultant Network Morocco and founding president of the African Research Center of Information Technology & Cybersecurity. He is a senior member of IEEE and a member of the International Association of Engineers IAENG and The Machine Intelligence Research Labs. Dr Maleh has made contributions in the fields of information security and privacy, Internet of things security, wireless and constrained networks security. His research interests include information security and privacy, Internet of things, networks security, information system, and IT governance. He has published over than 100 papers (book chapters, international journals, and conferences/workshops), 17edited books, and 3 authored books. He is the editor-in-chief of the International Journal of Information Security and Privacy, and the International Journal of Smart Security Technologies (IJSST). He serves as an associate editor for IEEE Access (2019 Impact Factor 4.098), the International Journal of Digital Crime and Forensics (IJDCF), and the International Journal of Information Security and Privacy (IJISP). He is a series editor of Advances in Cybersecurity Management, by CRC Taylor & Francis?-. He was also a guest editor of a special issue on Recent Advances on Cyber Security and Privacy for Cloud-of-Things of the International Journal of Digital Crime and Forensics (IJDCF), Volume 10, Issue 3, July-September 2019. He has served and continues to serve on executive and technical program committees and as a reviewer of numerous international conferences and journals such as Elsevier Ad Hoc Networks, IEEE Network Magazine, IEEE Sensor Journal, ICT Express, and Springer Cluster Computing. He was the Publicity chair of BCCA 2019 and the General Chair of the MLBDACP 19 symposium and ICI2C'21 Conference. He received Publons Top 1% reviewer award for the years 2018 and 2019.
