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

"The LLM Stack: Systems Engineering for Generative AI at Scale" provides a comprehensive, end-to-end exploration of the infrastructure, tools, and techniques required to build, deploy, and operate large language model applications in the real world. Philosophy: The core philosophy of this book is that Large Language Models are complex, distributed computing problems disguised as mative, focusing on performance, reliability, scalability, and cost-efficiency. My goal is to demystify the entire stack, from the GPU kernel level to the application API, providing readers with a holistic and deep ...

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 ...

"Ising Machines: The Roots of Analog Computing" is a comprehensive textbook designed for undergraduate and postgraduate students in Computer Science and Engineering. It serves as an accessible yet rigorous introduction to the fascinating world of physics-based analog computation, a field poised to redefine the boundaries of high-performance computing. Philosophy The core philosophy of this book is to bridge the gap between classical digital computing and the emerging paradigm of specialized, analog hardware accelerators. For decades, computation has been synonymous with digital logic gates....

This book, "Design and Modeling Vector Database," provides a comprehensive, hands-on, and academically rigorous introduction to the world of vector databases. It is designed to serve as the primary textbook for undergraduate and postgraduate courses on modern database systems, AI/ML engineering, and data science. Philosophy: My core philosophy is "Learn by Building." I believe that the most profound understanding comes from bridging the gap between theory and practice. This book demystifies the magic behind AI-powered search and retrieval by breaking down complex systems into their ...

"Designing & Modeling Generative AI Applications" is a comprehensive textbook and practical guide for students and professionals seeking to master the rapidly evolving field of Generative AI. This book provides a structured pathway from foundational theory to the hands-on development of sophisticated AI applications. Philosophy The core philosophy of this book is "principled practice." I believe that a robust understanding of Generative AI cannot be achieved through theory alone, nor through simply copying and pasting code. Instead, I foster a deep conceptual understanding of the underlying...

This book serves as a comprehensive and practical guide to the fascinating intersection of Artificial Intelligence (AI) and Web3 technologies. It is designed to bridge the gap between the theoretical potential of autonomous, decentralized agents and the practical skills required to design, build, and deploy them. Philosophy: The core philosophy of this book is that the next evolution of the internet will be defined by autonomous agency. I believe that by combining the cognitive power of AI with the trustless, transparent, and sovereign foundation of Web3, we can create a new class of ...

This book provides a comprehensive, practical, and principles-driven guide to implementing Site Reliability Engineering (SRE) for applications powered by Generative AI and Large Language Models (LLMs). It is designed to serve as a core textbook for university courses and a vital handbook for industry professionals. Philosophy: The core philosophy of this book is "Reliability by Design for the AI Era." We posit that the non-deterministic, complex, and often opaque nature of GenAI systems demands a new, integrated approach to reliability. It is not enough to simply "bolt on" monitoring to a ...

This book provides a comprehensive, practical, and architecturally-focused exploration of Cognitive Middleware—the critical layer that enables the integration, deployment, and management of artificial intelligence within an enterprise. Philosophy: The core philosophy of this book is that successful AI implementation is an architectural discipline, not just a data science one. While building accurate models is essential, creating value from AI at an enterprise scale depends on robust, scalable, and maintainable systems. This book shifts the focus from the "what" of AI algorithms to the "...

"Model Context Protocol" is a definitive, hands-on guide for students, developers, and researchers looking to master the next evolution of Artificial Intelligence. In an era dominated by Large Language Models (LLMs), the true differentiator for creating powerful, reliable, and valuable AI applications lies in the ability to provide them with accurate, relevant, and timely context. This book systematically demystifies this process, introducing the "Model Context Protocol" (MCP)—a comprehensive framework for building context-aware AI systems. Why This Book? While many books focus on the ...

"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. ...

"The Generative AI Stack: Building Real-World Applications with LLMs and Diffusion Models" is a comprehensive, hands-on, and full-stack guide designed to empower students, developers, and entrepreneurs to build real-world, production-ready applications using Large Language Models (LLMs) and Diffusion Models. This book bridges the gap between the theoretical understanding of AI and the practical engineering skills needed to create meaningful products. It takes you on a structured journey from the fundamental principles of Generative AI to the deployment and maintenance of sophisticated, ...

The Co-Pilot Engineering: Building the Digital Second Brain" is a comprehensive, hands-on guide designed to equip students and professionals with the end-to-end skills required to design, build, and deploy sophisticated AI-powered Co-Pilots. In an era where generative AI is reshaping industries, this book provides the essential engineering roadmap to harness its power effectively. It bridges the critical gap between understanding AI theory and applying it to create practical, value-driven applications. Philosophy The core philosophy of this book is "Learning by Building." We believe that ...

"MLOps and Infrastructure Technologies" is a comprehensive, practical, and accessible guide designed to demystify the complex process of taking machine learning models from concept to production. In an era where AI is redefining industries, the ability to build, deploy, and manage ML systems at scale is no longer a niche skill but a fundamental requirement for technology professionals. This book serves as a definitive resource for students and aspiring engineers, providing the foundational knowledge and hands-on skills needed to excel in the dynamic field of MLOps. Key Features: 1. Beginner...

"Developing Apps with GPT-4 and ChatGPT" is a comprehensive, practical, and beginner-friendly guide designed to take you from zero knowledge to a confident AI application developer. In an era where Large Language Models (LLMs) are reshaping industries, this book serves as your essential roadmap to understanding and leveraging the power of GPT-4 and the ChatGPT API. Key Features of This Book: 1. Project-Based Learning: Every chapter contains practical exercises and mini-projects, ensuring you learn by building. The book concludes with a comprehensive capstone project to solidify your skills....

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 ...

What is this Book About? "Agentic Search" is a comprehensive guide to the next generation of artificial intelligence, where AI systems move beyond simply answering queries to autonomously performing complex tasks and achieving goals on your behalf. This book demystifies the technology behind AI agents—intelligent systems that can perceive their environment, reason, plan, and act. We explore how the power of Large Language Models (LLMs) is being harnessed to create sophisticated agents that can browse the web, use software tools, write code, and collaborate with each other to solve ...

This book, "Quantum AI," is born out of a desire to demystify this convergence. It is designed to be a clear and accessible gateway for the next generation of engineers, scientists, and innovators—the B.Tech and M.Tech students who will build the future. My primary objective is to bridge the gap between the abstract principles of quantum physics and the practical, data-driven world of artificial intelligence, without demanding a prerequisite mastery of either. Key Features of This Book: 1. NEP 2020 & AICTE Compliant: Embraces a multidisciplinary, skill-based, and outcome-oriented approach...

"Building AI Agents" is a comprehensive, practical, and modern guide designed to empower the next generation of AI developers. This book demystifies the complex world of Artificial Intelligence by focusing on a single, compelling goal: teaching you how to build intelligent agents from the ground up. It provides a structured path from foundational principles to the cutting-edge technologies that are defining our future. Key Features: 1. Real-World Capstone Project: A final chapter guides students step-by-step through building a practical AI agent (a customer service chatbot), providing ...

"LLM.dev : The Next Generation of Coding" is a comprehensive, practical, and beginner-to-advanced guide designed to equip the next generation of software engineers with the essential skills to leverage Large Language Models (LLMs) in modern software development. This textbook systematically demystifies the world of LLM-powered applications, transforming complex AI concepts into accessible, actionable knowledge. Key Features: 1. Hands-on Practicals: Every chapter includes practical labs and code examples to reinforce theoretical concepts and build real skills. 2. Simple and Explanatory ...

"Beyond GPT: Neuro-Symbolic AI" provides a comprehensive and accessible pathway into one of the most promising and critical areas of modern Artificial Intelligence. As the limitations of purely data-driven models like GPT become more apparent, the need for systems that combine learning with reasoning has never been more urgent. This book serves as both a theoretical guide and a practical handbook for understanding, designing, and implementing Neuro-Symbolic AI systems. To Whom This Book Is For: 1. B.Tech/M.Tech Computer Science Students: The book is designed as a primary textbook for ...