Название: ChatGPT: Principles and Architecture
Автор: Ge Cheng
Издательство: Elsevier
Год: 2025
Страниц: 280
Язык: английский
Формат: epub (true)
Размер: 16.9 MB

ChatGPT: Principles and Architecture bridges the knowledge gap between theoretical AI concepts and their practical applications. It equips industry professionals and researchers with a deeper understanding of Large Language Models (LLMs), enabling them to effectively leverage these technologies in their respective fields. In addition, it tackles the complexity of understanding Large Language Models and their practical applications by demystifying underlying technologies and strategies used in developing ChatGPT and similar models. By combining theoretical knowledge with real-world examples, the book enables readers to grasp the nuances of AI technologies, thus paving the way for innovative applications and solutions in their professional domains. Sections focus on the principles, architecture, pretraining, transfer learning, and middleware programming techniques of ChatGPT, providing a useful resource for the research and academic communities. It is ideal for the needs of industry professionals, researchers, and students in the field of AI and Computer Science who face daily challenges in understanding and implementing complex LLM technologies.

Название: Debugging Like a Pro: A Practical Guide with Examples
Автор: William E. Clark
Издательство: Nobtrex L.L.C.
Год: 2025
Страниц: 366
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Efficient debugging is fundamental to reliable software development. "Debugging Like a Pro: A Practical Guide with Examples" provides a comprehensive, methodical approach to identifying, analyzing, and resolving bugs across a wide range of programming environments. This book addresses both the technical and cognitive aspects of debugging, blending practical guidance with clear explanations of the causes and types of software defects. Structured to support individuals at all stages of their programming careers, the book explores the setup of effective debugging environments, the interpretation of error messages, and the application of powerful debugging tools. It covers the recognition of common bug patterns, the diagnosis of logic and control flow errors, and strategies for tackling bugs specific to various programming languages and platforms.

Название: Developing Apps with Python and Flet
Автор: Williams Asiedu
Издательство: Ouereila Publishing House
Год: 2024
Формат: epub
Страниц: 575
Размер: 27.1 Мб
Язык: английский

"Developing Apps with Python and Flet" is an authoritative guide that caters to both beginners and seasoned developers, offering a comprehensive journey into the world of application development. This invaluable resource meticulously explores the creation of mobile, desktop, and web applications using Python alongside Flet, Google's advanced framework.

Название: Essential Knowledge for R Beginners: 100 Tips
Автор: Shobo Gensuiho, Matsuda Sakura, Seto Kouta, Horikawa Yuka
Издательство: авторы
Год: 2024
Формат: pdf, epub
Страниц: 250
Размер: 25.2 Мб
Язык: английский

"Essential Knowledge for R Beginners: 100 Tips" is designed to help you master the basics and beyond. From understanding the core concepts to advanced techniques, this book covers it all. Learn about data manipulation, visualization, and statistical analysis with practical examples. Whether you're a student, a data analyst, or a hobbyist, this book is your go-to resource. Each chapter is packed with insights and tips to enhance your R programming skills.

Название: Generative AI in C++: Coding Transformers and LLMs
Автор: David Spuler
Издательство: Yoryck AI Pty Ltd.
Год: March 30, 2024
Страниц: 1206
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Do you know C++ but not AI? Do you dream of writing your own AI engine in C++? From beginner to advanced, this book covers the internals of AI engines in C++, with real source code examples and research paper citations. As a programmer, your job is to harness the power of your AI platform and offer it up to your many users in top-level features. Whether your AI project is about writing sports content or auto-diagnosing X-ray images, your work as an AI developer is based on fundamentally the same architecture. And to do this at a scale that matches the capability of your workhorse models, you need a programming language to match its power. C++ is on the inside of all AI engines. Whereas Python is often on the outside wrapping around the various models, C++ is always closer to the machine and its hardware. PyTorch and Tensorflow have lots of Python code on the top layers, but the grunt work underneath runs in highly optimized C++ code. The main advantage of C++ is that it is super-fast, and has low-level capabilities, that makes its operations close to those of the hardware instructions. This is a perfect match, because AI engines need to run blazingly fast, with hardware-acceleration integrations direct to the GPU to handle literally billions of arithmetic calculations.

Название: Kubernetes and Cloud Native Associate (KCNA) Exam Guide: KCNA concepts featuring orchestration, architecture, observability, and application delivery
Автор: Sangram Rath
Издательство: BPB Publications
Год: 2025
Страниц: 252
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

"Kubernetes and Cloud-Native Associate (KCNA) Exam Guide" is a comprehensive introductory guide for anyone looking to prepare for the KCNA exam or to simply get started with Kubernetes and cloud-native. It will provide readers with the necessary fundamental knowledge to understand the Cloud Native Computing Foundation (CNCF) ecosystem, especially Kubernetes. The book covers all the exam objectives and much more. The book includes prerequisite chapters for a better understanding of Kubernetes and cloud-native, core chapters based on the domains and competencies of the exam, and a couple of hands-on chapters. Readers will learn about containers, microservices, container orchestration, the internals of Kubernetes, container orchestration in Kubernetes, cloud-native architecture, observability, application delivery, and much more. Each chapter also includes practice questions at the end. Additionally, through hands-on exercises, readers will gain practical experience on Dockers and Kubernetes. Throughout the book, readers will learn about various cloud-native tools and technologies.

Название: Mastering New Age Computer Vision: Advanced techniques in computer vision object detection, segmentation, and Deep Learning
Автор: Zonunfeli Ralte
Издательство: BPB Publications
Год: 2025
Страниц: 426
Язык: английский
Формат: epub (true)
Размер: 11.8 MB

Mastering New Age Computer Vision is a comprehensive guide that explores the latest advancements in computer vision, a field that is enabling machines to not only see but also understand and interpret the visual world in increasingly sophisticated ways, guiding you from foundational concepts to practical applications. This book explores cutting-edge computer vision techniques, starting with zero-shot and few-shot learning, DETR, and DINO for object detection. It covers advanced segmentation models like Segment Anything and Vision Transformers, along with YOLO and CLIP. Using PyTorch, readers will learn image regression, multi-task learning, multi-instance learning, and deep metric learning. Hands-on coding examples, dataset preparation, and optimization techniques help apply these methods in real-world scenarios. This book is for data scientists, AI practitioners, and researchers with a basic understanding of Python programming and ML concepts. Familiarity with deep learning frameworks like PyTorch and foundational knowledge of computer vision will help readers fully grasp the advanced techniques discussed.

Название: Natural Language Processing Cookbook: Step-by-step practical solution for unlocking the power of natural language processing potential
Автор: Rosario Moscato, Alessio Ligios, Corrado Silvestri
Издательство: BPB Publications
Год: 2025
Страниц: 404
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Natural language processing (NLP) is revolutionizing how machines understand and interact with human language, creating powerful applications from chatbots to text analytics. This provides a practical, hands-on approach to mastering these technologies, making complex NLP concepts accessible through step-by-step recipes and real-world examples. This book walks you through the world of teaching computers to understand human language, starting with the basics and building up to advanced techniques. You will learn how to break down text into meaningful pieces, use Python programming to handle text data, and clean up messy text for analysis. The book shows you how computers can understand the meaning behind words using methods like word embeddings and BERT. You will discover how to identify parts of speech and recognize names of people and places in text, and how to sort text into different categories using ML. Advanced topics include finding hidden themes in document collections, building chatbots that can have conversations, and creating visual representations of text data. Throughout the book, practical Python examples help you implement these techniques while considering how to evaluate and deploy real-world NLP systems.

Название: Generative AI with Kubernetes: Implementing secure and observable AI infrastructure to deliver reliable AI applications
Автор: Jonathan Baier
Издательство: BPB Publications
Год: 2025
Страниц: 284
Язык: английский
Формат: epub (true)
Размер: 11.5 MB

Over the past few years, we have seen leaps and strides in ML and most recently generative AI. Companies and software teams are rushing to enhance, rebuild, and create new software offerings with this new intelligence. As they innovate and create delightful new experiences for their customers new challenges arise. Understanding how these applications work and how to use state-of-the-art infrastructure tools like Kubernetes will help organizations and professionals succeed with this new technology. The book covers essential technical implementations from ML fundamentals through advanced deployment strategies, focusing on practical patterns. Core topics include Kubernetes-native GPU scheduling and resource management, MLOps pipeline architectures using Kubeflow/MLflow, and advanced model serving patterns. It details data management architectures, vector databases, and RAG systems, alongside monitoring solutions with Prometheus/Grafana. Finally, we will look at some advanced concerns for production in the realm of security and data reliability.

Название: Statistics with R for Machine Learning: Vol. 1-2
Автор: Mohsen Nady
Издательство: Arcler Press
Год: 2025
Страниц: 298+188
Язык: английский
Формат: pdf (true)
Размер: 17.0 MB

Data preparation is the foundation of any successful Machine Learning project. This volume provides a comprehensive guide to cleaning, transforming, and splitting data for Machine Learning using R, including handling missing values, feature scaling, and stratified sampling. Practical examples and R code demonstrate how to optimize datasets for predictive modeling. The volume is essential for data scientists and Machine Learning practitioners seeking to build robust models. Resampling techniques are key to improving model performance and reliability in Machine Learning. This volume explores advanced resampling methods, including cross-validation, bootstrapping, and hyperparameter tuning, using R. Readers will learn how to apply these techniques to optimize model accuracy and prevent overfitting. Practical examples and case studies illustrate their real-world applications. This voulme is an essential resource for data scientists and Machine Learning enthusiasts aiming to master resampling strategies.