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

"Agent-Driven Software Engineering" is a comprehensive textbook and practical guide designed to introduce students, educators, and professionals to the next paradigm in software development. This book systematically explores the art and science of building complex software systems using autonomous, intelligent agents. It moves beyond traditional programming models to an approach where software is an emergent property of a society of collaborating, problem-solving entities. Key Features: 1. Beginner to Advanced Trajectory: The book follows a logical progression, starting with fundamental ...

"Generative Infrastructure-as-Code" is a comprehensive guide designed to navigate the cutting-edge intersection of Generative AI and modern infrastructure management. It demystifies how Large Language Models (LLMs) and other AI techniques can be used to automate the creation, deployment, and maintenance of cloud infrastructure, transforming a complex, code-intensive process into an intuitive, prompt-driven one. Key Features: 1. Globally Compatible Syllabus: The content is based on universally recognized concepts and industry-standard tools, making it suitable for computer science curricula ...

"Feature Engineering from Scratch" is a comprehensive guide designed to equip students, academics, and practitioners with the essential skills to master the art and science of feature engineering. It provides a structured, hands-on, and intuitive pathway to understanding how to transform raw data into powerful, predictive features that fuel high-performance machine learning models. Key Features: 1. Progressive Learning Curve: Carefully structured to guide learners from beginner-level concepts to advanced topics, making it suitable for a wide audience. 2. Hands-On Practical Implementation: ...

This book, "Agentic RAG," is crafted to serve as a comprehensive guide to this transformative domain. Recognizing the critical need for an educational resource that bridges theoretical foundations with practical applications, we have meticulously structured this text to cater to both beginners taking their first steps into the world of LLMs and advanced learners seeking to master the intricacies of agentic systems. Key Features: 1. Comprehensive Coverage, Simplified Explanations: This book covers foundational concepts of LLMs and RAG, progressing to advanced topics in Agentic RAG, including...

"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. ...

"CEO-to-Code : Full-Stack Development" is a comprehensive textbook designed to navigate the modern landscape of software creation. It bridges the gap between traditional development principles and the revolutionary, AI-driven workflows that are defining the future of the industry. The core philosophy is to empower students and developers to translate high-level ideas directly into functional, full-stack applications, thereby evolving their role from coders to technology architects. Key Features of This Book: 1. AI-Integrated Workflow: Uniquely introduces the concept of using AI tools for ...

"Machine Learning for Engineers" is a foundational textbook meticulously crafted to introduce B.Tech and M.Tech engineering students to the principles and practices of Machine Learning (ML). This book serves as a bridge, connecting the theoretical underpinnings of ML algorithms with their practical application in solving complex engineering problems. Recognizing that the engineers of tomorrow must be adept at leveraging data, this book demystifies ML, making it accessible, intuitive, and directly relevant to their discipline. Key Features: 1. NEP 2020 and AICTE Compliant: The structure and ...

"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 ...

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, "Vector Databases: The Engine of the AI Revolution," is born from the necessity to bridge this gap. It is written for the next generation of engineers, data scientists, and innovators—the students of today who will build the intelligent systems of tomorrow. The focus is no longer just on theoretical knowledge, but on practical application, critical thinking, and multidisciplinary problem-solving. This book embodies that spirit. Who is this book for? 1. B.Tech and M.Tech Students in Computer Science, IT, and AI/ML specializations. 2. Aspiring AI/ML Engineers and Data Scientists ...

"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 ...

"Building Small Language Models from Scratch" is a comprehensive, hands-on guide designed for students, developers, and aspiring AI engineers who want to move beyond using pre-built models and learn to create their own. This book demystifies the complex world of language models by breaking it down into understandable, practical steps. Using the popular PyTorch framework, you will journey from the basic building blocks of neural networks to constructing and training a complete, functional Small Language Model (SLM). Key Features of the Book: 1. From-Scratch Approach: Learn by building every ...

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 ...

"Internet of Things (IoT) and AI: Integrating AI with IoT devices" is a comprehensive textbook meticulously designed to navigate the intricate and rapidly evolving landscape where the Internet of Things (IoT) converges with Artificial Intelligence (AI). This synergy, often referred to as AIoT (Artificial Intelligence of Things), is at the forefront of the Fourth Industrial Revolution, powering a new generation of smart, autonomous, and data-driven systems. This book serves as an essential guide for B.Tech and M.Tech students in Computer Science, Information Technology, Electronics and ...

"Programming with DNA: A Guide to the Future of Data Storage and Biocomputation" provides a comprehensive and accessible entry into one of the most exciting interdisciplinary fields of the 21st century. This book demystifies the science of using DNA—the fundamental molecule of life—as a substrate for storing vast amounts of data and performing complex computations. It is designed as a one-stop resource that seamlessly integrates the principles of computer science, molecular biology, and information theory into a cohesive and understandable narrative. Key Features: 1. Beginner to ...

This book, "Graph Database Modeling," is born out of the necessity to equip the next generation of technologists, engineers, and data scientists with the mindset and skills required to navigate this new paradigm. It is designed to be more than just a technical manual; it is a guide to mastering the art and science of modeling the world as it truly is—a network of interconnected entities. Key Features: 1. NEP 2020 Aligned Pedagogy: Focuses on conceptual understanding and practical skill development over rote learning. 2. Lucid and Simple Language: Complex topics are broken down into easy-...

"Web3 & Decentralized Technologies" is a comprehensive, one-stop guide designed to navigate the exciting and transformative world of the decentralized internet. This book meticulously demystifies the core concepts of Web3, starting from the absolute fundamentals and progressively building up to advanced, practical applications. It serves as both a textbook and a hands-on manual, bridging the gap between theoretical knowledge and real-world implementation. Key Features: 1. Beginner to Advanced Trajectory: The book’s 10 chapters are logically sequenced to guide learners smoothly from ...

"Programming with AI Assistants" is a pioneering textbook designed for the modern era of software development. It fundamentally reimagines programming education by shifting the focus from rote memorization of syntax to the art and science of problem-solving in collaboration with Artificial Intelligence. This book serves as both a comprehensive guide and a practical workbook for students and professionals who want to master the tools that are defining the future of technology. Instead of just learning a programming language, you will learn how to leverage AI to write better code, faster. Key...

Large Language Models is an in-depth, academically grounded exploration of one of the most transformative developments in Artificial Intelligence: the emergence and evolution of large language models (LLMs). Authored by Ajit Singh—an experienced educator, researcher, and technologist—the book offers a balanced fusion of theoretical clarity and real-world relevance, serving as both a foundational textbook and a practical guide for students, educators, and AI enthusiasts. The book is designed with an academic audience in mind, particularly B.Tech, M.Tech, MCA, and other undergraduate and ...

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 ...