Introduction to LLMs offers a clear and comprehensive overview of Large Language Models, capturing their historical development, technological foundations, and transformative impact across various sectors such as healthcare, education, software development, and creative industries. This book is tailored to both newcomers and experienced professionals, guiding readers through the evolution, architecture, applications, and ethical dimensions of LLMs.Structured to progressively build understanding, the chapters explore key aspects-from the origins of language modeling and recent breakthroughs to...
Introduction to LLMs offers a clear and comprehensive overview of Large Language Models, capturing their historical development, technological foundat...
In this book, the spectra of power graphs associated with finite groups have been explored. The power graph of a finite group G is an undirected graph whose vertex set is G and any two vertices in the graph are adjacent if and only if one of them is an integral power of the power. We first study the signless Laplacian spectra of the power graph of the finite cyclic group Z n and the dihedral group D n. When the number of vertices is large enough, we provide lower and upper bounds on the largest signless Laplacian eigenvalue of power graph of finite cyclic and dihedral groups. We also study...
In this book, the spectra of power graphs associated with finite groups have been explored. The power graph of a finite group G is an undirected graph...
This book offers a clear, accessible guide to the inner workings and real-world impact of large language models (LLMs). As AI becomes increasingly integrated into daily life, understanding how LLMs generate human-like text is crucial for professionals across technology, education, policy, and more. The book covers core concepts in NLP and machine learning, while addressing ethical concerns like algorithmic bias, privacy, and automation's effects on employment. Through real-world case studies from organizations like OpenAI and DeepMind, it explores both the promise and risks of AI-powered...
This book offers a clear, accessible guide to the inner workings and real-world impact of large language models (LLMs). As AI becomes increasingly int...
Ce livre propose un guide clair et accessible sur le fonctionnement interne et l'impact réel des grands modèles de langage (LLM). L'IA étant de plus en plus intégrée dans la vie quotidienne, il est essentiel pour les professionnels de la technologie, de l'éducation et de la politique, entre autres, de comprendre comment les LLM génèrent des textes semblables à ceux d'un être humain. Le livre couvre les concepts de base du NLP et de l'apprentissage automatique, tout en abordant des questions éthiques telles que les biais algorithmiques, la vie privée et les effets de...
Ce livre propose un guide clair et accessible sur le fonctionnement interne et l'impact réel des grands modèles de langage (LLM). L'IA étant de plu...
Dieses Buch bietet einen klaren, leicht zugänglichen Leitfaden für das Innenleben und die realen Auswirkungen von großen Sprachmodellen (LLMs). Da KI zunehmend in das tägliche Leben integriert wird, ist das Verständnis, wie LLMs menschenähnlichen Text generieren, für Fachleute in den Bereichen Technologie, Bildung, Politik und mehr von entscheidender Bedeutung. Das Buch deckt die Kernkonzepte des NLP und des maschinellen Lernens ab und geht gleichzeitig auf ethische Fragen wie algorithmische Voreingenommenheit, Datenschutz und die Auswirkungen der Automatisierung auf die Beschäftigung...
Dieses Buch bietet einen klaren, leicht zugänglichen Leitfaden für das Innenleben und die realen Auswirkungen von großen Sprachmodellen (LLMs). Da ...
The Rise of Self-Learning AI in Healthcare: The Dawn of Adaptive, AI-Driven Healthcare is a response to this unfolding paradigm shift. It explores how adaptive AI technologies are reshaping everything from diagnosis and treatment planning to remote monitoring, rehabilitation, and drug discovery. Unlike conventional models, self-learning AI thrives in complexity, improves with data, and holds the potential to democratize access, personalize interventions, and enhance decision-making across the care continuum.This book was written to provide a holistic view of the current landscape and future...
The Rise of Self-Learning AI in Healthcare: The Dawn of Adaptive, AI-Driven Healthcare is a response to this unfolding paradigm shift. It explores how...
