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

"Multimodal Programming: From Sketch to Software" serves as a definitive guide to the next frontier of software development. This book introduces and systematically explores an emerging paradigm where developers use a combination of inputs—visual sketches, wireframes, voice commands, and traditional text—to generate, iterate on, and manage software code. It moves beyond the theoretical to provide a practical, hands-on journey into building systems that can translate human-centric designs and instructions directly into functional applications. Key Features of This Book: 1. Beginner to ...

"Quantum Communication & Cryptography: The Future of Secure Data" is a comprehensive and accessible textbook designed to introduce students, educators, and professionals to the revolutionary world of quantum-powered secure communications. As quantum computers threaten to break today's cryptographic standards, this book provides a vital, forward-looking guide to the next generation of security solutions. Key Features of This Book: 1. Conceptual Clarity: Complex topics like superposition, entanglement, and quantum measurement are explained using simple analogies, real-life examples, and step-...

"Mastering Cybersecurity using Generative AI" is a comprehensive, practical, and forward-looking textbook designed to bridge the gap between the theoretical concepts of Artificial Intelligence and the practical demands of modern Cybersecurity. It serves as both a university-level textbook and a professional's guide to understanding and leveraging the transformative power of Generative AI in defending our digital assets. Key Features of This Book: 1. Globally Compatible Syllabus: The topics covered are universal and map directly to cybersecurity and AI courses in universities worldwide, ...

Mastering GraphRAG: From Theory to Production with Neo4j" is a comprehensive, hands-on guide designed to take you from a novice to an expert in building sophisticated AI applications that leverage the power of knowledge graphs. The core premise of this book is that the future of AI lies in its ability to understand and reason over connected data. I methodically deconstruct every component of a GraphRAG system—from data modeling and ingestion to advanced retrieval and production deployment—ensuring a deep conceptual understanding backed by immediate practical application. Using Neo4j, ...

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...

"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 ...

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 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 ...

"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. ...

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 ...

"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 ...

"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 ...

"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 ...

"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 ...

"Embedded AI From Scratch" is a comprehensive, practical, and accessible guide designed to demystify the exciting world where Artificial Intelligence meets Embedded Systems. This book serves as a bridge between the theoretical concepts of machine learning and the practical constraints of hardware, empowering you to build truly intelligent devices. Key Features of This Book: 1. Beginner to Advanced Progression: A carefully crafted learning path that starts with foundational concepts and progressively builds up to advanced topics and a full-scale capstone project, making it suitable for all ...

"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...

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 ...

"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 ...

"The Intent Revolution: Programming in the Age of AI" is a comprehensive guide to the next major paradigm shift in software engineering. It is designed to equip students and developers with the mindset, skills, and tools necessary to excel in an era where artificial intelligence is a first-class collaborator in the coding process. Key Features of This Book: 1. Beginner to Advanced Progression: The book starts with fundamental concepts and gradually moves to advanced topics like system architecture, ethics, and a full-stack capstone project, ensuring a smooth learning curve. 2. Simple ...