Mostrando resultados por autor "Ajit Singh" en Todas las categorías

In an era defined by the fusion of Artificial Intelligence and Cloud Computing, a new technological paradigm has emerged: Cloud 3.0. This is an ecosystem where the infrastructure is no longer just a passive host for applications but an active, intelligent, and autonomous participant in them. While many resources explain the theory behind these concepts, a critical gap remains: the practical knowledge of how to build real-world AI solutions from the ground up on this modern infrastructure. Cloud 3.0 and AI Infrastructure: Design, Build, and Scale is written to fill that gap. This book moves ...

This book provides a comprehensive, step-by-step guide to building and deploying Large Language Models (LLMs) from the ground up. It is designed to be a practical, hands-on manual for students and developers, prioritizing implementation and application over abstract theory. Its primary objective is to demystify the end-to-end lifecycle of an LLM, presenting it not as an arcane art but as an engineering discipline that can be learned, practiced, and mastered. We dispense with unnecessary jargon and abstract theory, focusing instead on a direct, hands-on, and step-by-step methodology. My ...

"Metamorph: Self-Creating Artificial Intelligence" is a comprehensive and practical guide to designing and building AI systems that can modify their own architecture and code to adapt and improve over time. It serves as a bridge between foundational AI principles and the cutting-edge field of programmatic self-improvement, making it an essential resource for the next generation of AI developers and computer scientists. Philosophy The core philosophy of this book is "learning by doing." I believe that the most profound understanding of complex systems comes from building them. While ...

"Quantum Machine Learning: From Theory to Near-Term Application" is a comprehensive, hands-on textbook designed to guide students and professionals from the fundamentals of classical machine learning and quantum computing to the practical implementation of cutting-edge hybrid quantum-classical algorithms. This book is meticulously structured to serve as both a university-level textbook and a professional's guide to this transformative field. Philosophy The core philosophy of this book is to bridge the gap between abstract theory and tangible application. We operate on the principle that the...

This book provides a comprehensive, hands-on journey through the entire NVIDIA ecosystem, designed to take you from a novice in parallel programming to a proficient architect of cloud-native, GPU-accelerated AI services. It is meticulously crafted for students and professionals in the field of Computer Science and Engineering. Philosophy The core philosophy of this book is to present the NVIDIA platform as a cohesive, end-to-end "full stack." Traditional resources often treat CUDA programming, AI frameworks, and model deployment as separate disciplines. This book dismantles those silos. I ...

"Agentic System and Design" is a comprehensive, practical guide designed to equip students and developers with the skills needed to build modern, AI-powered agentic systems. This book cuts through the hype and theory to provide a direct, hands-on path to mastering the design and implementation of intelligent agents using the LangChain framework. Philosophy The philosophy of this book is rooted in a simple but powerful idea: understanding comes from doing. I believe that complex topics like AI agent design are best learned not by reading abstract descriptions but by actively building and ...

This textbook, "Reinforcement Learning," is conceived with the vision of providing a comprehensive, accessible, and contemporary introduction to this fascinating field. It is meticulously designed to cater to the learning needs of undergraduate (B.Tech) and postgraduate (M.Tech) students in Computer Science, Artificial Intelligence, Data Science, and related engineering disciplines. Recognizing the evolving landscape of technical education, this book is strictly aligned with the ethos of the National Education Policy (NEP) 2020 and the guidelines set forth by the All India Council for ...

This book, "Robotics Programming and Control," is born from a recognition of a critical need in engineering education. For too long, the study of robotics has been bifurcated. On one side stand the dense, theoretical texts, rich in mathematical formalism but often disconnected from practical application. On the other lie the code-heavy tutorials that, while useful, often neglect the foundational principles of why the code works. This book aims to bridge that chasm. My core philosophy is that a truly competent robotics engineer must be a "full-stack" developer in the physical world, ...

This book is a comprehensive, hands-on guide designed to teach you how to build, deploy, and manage autonomous AI agents from the ground up using the Moltbook platform. It is a practical manual for the modern developer, focusing on implementation over abstract theory. Philosophy The core philosophy of this book is "learning by doing." I believe that the most effective way to master a technical subject is to build with it. Every chapter is structured around practical outcomes, providing you with the code and concepts necessary to create tangible results immediately. I demystify the process ...

"Healthcare Informatics and AI: The New Frontier" is a comprehensive and accessible guide designed to navigate the exciting intersection of healthcare, data science, and artificial intelligence. The book provides a structured, start-to-finish roadmap for students and aspiring professionals to understand, design, and build intelligent systems for the healthcare domain. Moving seamlessly from foundational principles to advanced applications, this text equips readers with the theoretical knowledge and practical skills needed to thrive in this rapidly evolving field. Key Features: 1. Beginner ...

"Generative Agentic AI" is a comprehensive textbook and practical guide designed to navigate the exciting confluence of generative AI and autonomous agent technology. It systematically demystifies how we can empower Large Language Models (LLMs) and other foundation models to not only generate content but to actively reason, plan, and execute complex tasks in both digital and physical environments. This book bridges the gap between theoretical knowledge and practical implementation, making it an essential resource for the next generation of AI engineers and developers. Key Features: 1. ...

"AI Agents: From Prompting to Deploying" is conceptualized to bridge the critical gap between understanding the theoretical underpinnings of Large Language Models (LLMs) and building practical, goal-oriented autonomous agents. Philosophy The core philosophy of this book is "Learning by Building." We believe that the most effective way to master the complexities of AI agents is to build them. The text intentionally minimizes abstract theory in favor of applied knowledge. It treats the reader as an active participant—an engineer-in-training—rather than a passive observer. Every concept is...

About the Book "Agentic AI: A Hands-on Practical Approach" is a comprehensive, step-by-step guide designed to take you from a beginner to a competent builder of autonomous AI agents. This book is meticulously crafted to be a practical companion for students, developers, and enthusiasts who want to move beyond theory and start creating functional AI systems. Philosophy The core philosophy of this book is "Learning by Doing." I believe that true understanding in an engineering discipline comes from implementation. Every concept is introduced with the immediate goal of applying it. The text ...

Agentic AI: Architectures, Intelligence, and the Future of Autonomous Systems is conceived as a comprehensive exploration of this exciting frontier. This book endeavors to dissect the multifaceted nature of Agentic AI. We will begin by establishing a clear definition and historical context, distinguishing agentic systems from their predecessors. We will then delve into the foundational pillars—the core technologies like LLMs, reinforcement learning, and knowledge representation that empower these agents. A significant portion of the text is dedicated to the architectures that bring these ...

"AI Agent Engineering" is a comprehensive, hands-on textbook designed to guide students and developers through the principles, design, and implementation of autonomous AI agents powered by Large Language Models (LLMs). It serves as a practical bridge from foundational AI concepts to the creation of sophisticated, goal-oriented systems. Philosophy The core philosophy of this book is "Build to Understand." I believe that true mastery of AI agent engineering comes not from memorizing theories, but from the practical application of concepts. The text is structured as an incremental, project-...

This textbook, "Neuromorphic Computing," has been meticulously crafted to serve as a comprehensive guide for undergraduate (B.Tech) and postgraduate (M.Tech) students, as well as researchers and professionals eager to delve into this revolutionary domain. Recognizing the global and rapidly evolving nature of this field, the content herein is designed to be strictly compatible with the forward-looking National Education Policy (NEP) 2020 of India, the All India Council for Technical Education (AICTE) model syllabus, and the core curricula of leading universities worldwide. My goal is to ...

"Building RAG Apps from Scratch" is a comprehensive, practical-first guide designed to equip computer science students and developers with the skills to create sophisticated AI applications using the Retrieval-Augmented Generation (RAG) architecture. It systematically deconstructs the RAG pipeline into manageable, buildable components, focusing on implementation over abstract theory. Philosophy The core philosophy of this book is "Learning by Doing." In the rapidly evolving field of AI, theoretical knowledge alone is insufficient. True understanding and mastery come from hands-on ...

"Theoretical Concept of Operating System: Design, Develop, and Deploy Your Own Operating System" is a comprehensive, hands-on guide designed to transform the abstract principles of operating systems into concrete, practical skills. This book escorts the reader from foundational concepts to the final deployment of a self-developed, functional operating system. Philosophy The core philosophy of this book is "constructionism"—the idea that people learn most effectively when they are actively engaged in constructing a personally meaningful artifact. Instead of merely presenting theories, this...

"Hands-on Large Language Models from Scratch" is a practical guide designed to transition the reader from a theoretical understanding of AI to a functional capability in building and deploying Large Language Models. This book is engineered to be a comprehensive, step-by-step manual for students and developers. Philosophy The core philosophy of this book is learning by doing. I believe that true comprehension in a technical field is achieved not by passive reading but by active implementation. Every chapter is structured around a practical outcome, where theoretical concepts are introduced ...

About the Book "Data Structure and Algorithm" provides a balanced and practical guide to the core concepts that underpin modern computing. This book serves as both a textbook for students and a handbook for practitioners. Philosophy The philosophy of this book is captured in its "Simply In Depth." The goal is to demystify complex topics by presenting them in the simplest possible terms, without sacrificing the depth required for a true and lasting understanding. I have focused on building intuition rather than relying on dense mathematical proofs. This book uses the abstract Big O notation ...