This book provides a structured and accessible introduction to the theory, design, and real-world use of large language models (LLMs). As generative AI systems become embedded across industries, this book offers readers a balanced perspective that combines technical foundations with practical guidance and critical reflection.Beginning with the fundamentals of LLMs and prompt engineering, this book progressively explores advanced prompting techniques, application and interaction frameworks, and the underlying architectures that power modern language models. Dedicated chapters examine how LLMs are being applied in high-impact domains such as healthcare, customer support, and education, highlighting design principles, implementation considerations, and illustrative case studies. The book also addresses model fine-tuning, evaluation methods, and the ethical, social, and regulatory challenges associated with deploying LLMs at scale.This book supports readers in:* Understanding prompt engineering strategies and application frameworks* Gaining insight into contemporary LLM architecture and capabilities* Designing and evaluating LLM-based systems across real-world domains* Considering ethics, safety, and human-centered aspects of LLM deploymentThis book is a practical, accessible resource for those seeking to work thoughtfully and responsibly with LLMs in both academic and applied settings.
This book provides a structured and accessible introduction to the theory, design, and real-world use of large language models (LLMs). As generative AI systems become embedded across industries, this book offers readers a balanced perspective that combines technical foundations with practical guidance and critical reflection.Beginning with the fundamentals of LLMs and prompt engineering, this book progressively explores advanced prompting techniques, application and interaction frameworks, and the underlying architectures that power modern language models. Dedicated chapters examine how LLMs are being applied in high-impact domains such as healthcare, customer support, and education, highlighting design principles, implementation considerations, and illustrative case studies. The book also addresses model fine-tuning, evaluation methods, and the ethical, social, and regulatory challenges associated with deploying LLMs at scale.This book supports readers in:* Understanding prompt engineering strategies and application frameworks* Gaining insight into contemporary LLM architecture and capabilities* Designing and evaluating LLM-based systems across real-world domains* Considering ethics, safety, and human-centered aspects of LLM deploymentThis book is a practical, accessible resource for those seeking to work thoughtfully and responsibly with LLMs in both academic and applied settings.
This book provides a comprehensive introduction to polyadic chatbots, systems designed to manage multi-user conversations. It begins with the core design principles of these chatbots, emphasizing how they differ from traditional one-on-one systems and outlining the methodologies for managing multiple participants simultaneously, including real-time adaptation and behavioral modeling. The book then moves into real-world case studies, demonstrating how polyadic chatbots are used in industries like education, healthcare, and customer service to enhance group collaboration, therapy sessions, and customer interactions.The book discusses critical challenges, such as bias, fairness, and privacy, and offers solutions to ensure secure, unbiased, and equitable group interactions. It also explores the ethical responsibilities of chatbots, such as moderating sensitive discussions and preventing misinformation, while ensuring all users participate equally. Finally, the book takes a forward-looking approach, highlighting future trends like emotionally intelligent chatbots and proactive AI-driven group management, providing insights into how polyadic chatbots will evolve and impact the future of group communication systems. With its focus on both technical and ethical dimensions, this book is an essential guide for AI scientists, researchers, and developers interested in advancing the field of multi-user conversational systems.
This book provides a structured and accessible introduction to the theory, design, and real-world use of large language models (LLMs). As generative AI systems become embedded across industries, this book offers readers a balanced perspective that combines technical foundations with practical guidance and critical reflection.Beginning with the fundamentals of LLMs and prompt engineering, this book progressively explores advanced prompting techniques, application and interaction frameworks, and the underlying architectures that power modern language models. Dedicated chapters examine how LLMs are being applied in high-impact domains such as healthcare, customer support, and education, highlighting design principles, implementation considerations, and illustrative case studies. The book also addresses model fine-tuning, evaluation methods, and the ethical, social, and regulatory challenges associated with deploying LLMs at scale.This book supports readers in:* Understanding prompt engineering strategies and application frameworks* Gaining insight into contemporary LLM architecture and capabilities* Designing and evaluating LLM-based systems across real-world domains* Considering ethics, safety, and human-centered aspects of LLM deploymentThis book is a practical, accessible resource for those seeking to work thoughtfully and responsibly with LLMs in both academic and applied settings.
This book provides a structured and accessible introduction to the theory, design, and real-world use of large language models (LLMs). As generative AI systems become embedded across industries, this book offers readers a balanced perspective that combines technical foundations with practical guidance and critical reflection.Beginning with the fundamentals of LLMs and prompt engineering, this book progressively explores advanced prompting techniques, application and interaction frameworks, and the underlying architectures that power modern language models. Dedicated chapters examine how LLMs are being applied in high-impact domains such as healthcare, customer support, and education, highlighting design principles, implementation considerations, and illustrative case studies. The book also addresses model fine-tuning, evaluation methods, and the ethical, social, and regulatory challenges associated with deploying LLMs at scale.This book supports readers in:* Understanding prompt engineering strategies and application frameworks* Gaining insight into contemporary LLM architecture and capabilities* Designing and evaluating LLM-based systems across real-world domains* Considering ethics, safety, and human-centered aspects of LLM deploymentThis book is a practical, accessible resource for those seeking to work thoughtfully and responsibly with LLMs in both academic and applied settings.
This book provides a comprehensive introduction to polyadic chatbots, systems designed to manage multi-user conversations. It begins with the core design principles of these chatbots, emphasizing how they differ from traditional one-on-one systems and outlining the methodologies for managing multiple participants simultaneously, including real-time adaptation and behavioral modeling. The book then moves into real-world case studies, demonstrating how polyadic chatbots are used in industries like education, healthcare, and customer service to enhance group collaboration, therapy sessions, and customer interactions.The book discusses critical challenges, such as bias, fairness, and privacy, and offers solutions to ensure secure, unbiased, and equitable group interactions. It also explores the ethical responsibilities of chatbots, such as moderating sensitive discussions and preventing misinformation, while ensuring all users participate equally. Finally, the book takes a forward-looking approach, highlighting future trends like emotionally intelligent chatbots and proactive AI-driven group management, providing insights into how polyadic chatbots will evolve and impact the future of group communication systems. With its focus on both technical and ethical dimensions, this book is an essential guide for AI scientists, researchers, and developers interested in advancing the field of multi-user conversational systems.