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Generative AI, Geetha T.V.

   Generative AI discusses the basics of generative AI, classification and types of deep models, applications, tools, evaluation and ethical perspectives of generative AI and hence enables learners to understand the mystic of generative AI from both academic and industry perspectives. An introduction on the connection between AI, machine learning, deep learning and generative AI is explained. The mathematical foundations required to assimilate deep generative models and their classification are discussed next. The book then goes onto to discuss various generative AI models including autoregressive models, variational autoencoders, generative adversarial networks, diffusion models, flow-based and energy based generative models and transformer models in detail. It also explains pre-trained language models and large language models including fine-tuning, prompt engineering and popular large language models such as GPT, BERT, T5, BART and EMO architectures. The book then discusses the varied applications of generative AI text, audio, conversational, image and video models and domain based applications in healthcare, advertising and marketing, manufacturing, finance, media and entertainment and education. The book also outlines the various tools available. The book also gives an overview of evaluation of generative AI and the ethical perspectives associated with generative AI. In addition, many exercises and activities are included to enable the reader understand concepts and apply them to build meaningful applications using the latest techniques.

Deep Learning, Sridhar S., Narashiman D.

   Deep Learning is designed to be a textbook for undergraduate and postgraduate students. Many Indian universities have started giving UG courses in Artificial Intelligence, Machine Learning, and Data Science. This book would be helpful for computer science and IT students who specialize in these degrees. The book aims to provide basics like artificial intelligence, machine learning, natural language processing, image processing, and computer vision that are necessary to understand deep learning technologies. The concepts of basic neural networks are discussed along with activation and loss functions. The concept of optimization and regularization are dealt with in this book.

Create your online store with Django 5, Yoris A.C., 2025.

   This book was written by Andres Cruz Yoris, a graduate in Computer Science with over 10 years of experience developing web applications in general. I work with PHP, Python, and client-side technologies such as HTML, JavaScript, CSS, Vue, and others; and server-side technologies such as Laravel, Flask, Django, and CodeIgniter. I'm also a developer in Android Studio, xCode, and Flutter for creating native applications for Android and iOS.
I share some of my learning experience with you, reflected in each of the words that make up this book, my second book on Django; this time a more advanced, mid-professional-level book.

Cognitive Kin, How to Work, Win, and Make Meaning with Agentic AI, Kolb C., Rosen J., 2026.

   Cognitive Kin does not offer a simple playbook, but it provides a rigorous framework for thinking about these issues. It calls for a mindset grounded in curiosity, disciplined experimentation, and alignment with human values. Progress in AI will depend on leaders who understand that trust, governance, and accountability are as critical as innovation itself.
This book is a timely contribution to that conversation. It invites us to approach AI not as a force to be managed, but as a relationship to be shaped. The opportunity ahead lies in learning how to evolve with intelligent systems, creating new forms of collaboration that enhance both human and organizational potential.

Claude Code, Полное руководство по AI-ассистенту для разработчиков, Мукминов Р., 2026.
 
   Уважаемый читатель, перед вами – наиболее полное русскоязычное руководство по Claude Code, революционному AI-ассистенту для разработчиков, созданному компанией Anthropic. Эта книга родилась из простого наблюдения: мир программирования переживает фундаментальный сдвиг, сопоставимый по масштабу с появлением объектно-ориентированного программирования, открытого программного обеспечения или облачных вычислений. Искусственный интеллект больше не является экзотической технологией из научно-фантастических фильмов – он превратился в повседневный инструмент, способный кардинально изменить то, как мы пишем, отлаживаем и поддерживаем программный код.

ChatGPT For Beginners, 2026.
 
   Welcome to Papercut Ltd's "For Beginners" series, your first and only choice if you are a new adopter and want to learn everything you'll need to get started with your new device.
This independent manual is crammed with helpful guides and step-by-step fully illustrated tutorials, written in plain, easy to follow English.
Over the pages of this new user guide you will clearly learn all you need to know about out of the box set up, getting to grips with the more advanced features and discover a huge array of amazing apps.
With this unofficial instruction manual at your side no problem will be unsolvable, no question unanswered as you learn, explore and enhance your user experience. Let the fun begin...

С++, Основы программирования, Наков С., 2024.
 
   Книга «C++. Основы программирования» знакомит читателей с написанием программного кода в среде разработки (IDE) на начальном уровне, обучает использованию переменных и данных, операторов и выражений, работе с консолью (считывание входных данных и вывод выходных данных), применению условных операторов (if, if-else, switch-case), циклов (for, while, do-while) и функций (объявление и вызов функций, передача параметров и возврат значений). Основной упор в издании сделан на упражнениях: здесь приведено множество подробно прокомментированных примеров кода, дополненных тщательно отобранными практическими задачами и судейской системой для мгновенной автоматической оценки написанного вами кода. Издание призвано помочь новичкам сделать первые шаги в освоении C++ — мультипарадигменного высокопроизводительного языка программирования общего назначения с широчайшим набором возможностей, дальнейшее изучение которого открывает путь в такие области, как разработка высоконагруженных приложений, нейронных сетей, банковских, поисковых и ГИС-систем, систем управления базами данных и маршрутизации сетевого трафика, операционных систем, микроконтроллеров, браузеров, серверов, игр, игровых движков и графических редакторов.

Build a Reasoning Model, From Scratch, Version 7, MEAP, Raschka S., 2026.
 
   Reasoning is one of the most exciting and important recent advances in improving LLMs, but it’s also one of the easiest to misunderstand if you only hear the term reasoning and read about it in theory. That’s why this book takes a hands-on approach. We’ll start with a pre-trained base LLM and then add reasoning capabilities ourselves, step by step in code, so you can see exactly how it works.
This book isn’t a “production deployment” manual, and we won’t use any third-party LLM libraries. Instead, think of it as a behind-the-scenes tour where you get to develop the machinery yourself.
By the end, you will not only understand what reasoning is and how it works, but you will also have built it from scratch. That’s a perspective that will serve you well whether you are using, developing, or planning to deploy LLMs in the future.