Название: Mastering Large Language Models: Advanced techniques, applications, cutting-edge methods, and top LLMs
Автор: Sаnkеt Subhаsh Кhаndаrе
Издательство: BPB Publications
Год: 2024
Страниц: 903
Язык: английский
Формат: pdf, epub
Размер: 13.2 MB

Do not just talk AI, build it: Your guide to LLM application development. Transform your business landscape with the formidable prowess of large language models (LLMs). The book provides you with practical insights, guiding you through conceiving, designing, and implementing impactful LLM-driven applications. This book explores NLP fundamentals like applications, evolution, components and language models. It teaches data pre-processing, neural networks, and specific architectures like RNNs, CNNs, and transformers. It tackles training challenges, advanced techniques such as GANs, meta-learning, and introduces top LLM models like GPT-3 and BERT. It also covers prompt engineering. Finally, it showcases LLM applications and emphasizes responsible development and deployment. With this book as your compass, you will navigate the ever-evolving landscape of LLM technology, staying ahead of the curve with the latest advancements and industry best practices. This book is tailored for those aiming to master large language models, including seasoned researchers, data scientists, developers, and practitioners in natural language processing (NLP).

Название: C# Concurrency: Asynchronous and multithreaded programming (MEAP v10)
Автор: Nir Dоbоvizki
Издательство: Manning Publications
Год: 2024
Страниц: 265
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Supercharge your applications with the ultimate guide to asynchronous and multithreaded programming in C#! C# Concurrency: Asynchronous and Multithreaded Programming teaches you to harness the power of multithreading and async/await to get maximum speed from your code. Nir Dobovizki, a seasoned C# veteran with over 30 years of high-performance programming experience, is here to share his deep knowledge and expert techniques with you. Say goodbye to frustrating pitfalls and impossible-to-find bugs that slow down your applications. Nir's careful approach will teach you how to navigate these challenges with ease, allowing you to achieve lightning-fast performance like never before! Concurrency is a developers’ secret weapon for maximizing an application's performance. Using asynchronous and multithreaded programming techniques, you can seamlessly execute multiple tasks simultaneously, without sacrificing speed or quality.

Название: Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data Acquisition, Visualization, and Statistical Analysis
Автор: Аbhinаbа Ваnеrjее
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 507
Язык: английский
Формат: pdf, epub
Размер: 14.9 MB

Test your Data Analysis skills to its fullest using Python and other no-code toolsBook DescriptionUltimate Data Analysis and Visualization with Python is your comprehensive guide to mastering the intricacies of data analysis and visualization using Python. This book serves as your roadmap to unlocking the full potential of Python for extracting insights from data using Pandas, NumPy, Matplotlib, Seaborn, and Julius AI. Starting with the fundamentals of data acquisition, you'll learn essential techniques for gathering and preparing data for analysis. From there, you’ll dive into exploratory data analysis, uncovering patterns and relationships hidden within your datasets.Through step-by-step tutorials, you'll gain proficiency in statistical analysis, time series forecasting, and signal processing, equipping you with the tools to extract actionable insights from any dataset. What sets this book apart is its emphasis on real-world applications. With a series of hands-on projects, you’ll apply your newfound skills to analyze diverse datasets spanning industries such as finance, healthcare, e-commerce, and more.By the end of the book, you'll have the confidence and expertise to tackle any data analysis challenge with Python. To aid your journey, the book includes a handy Python cheat sheet in the appendix, serving as a quick reference guide for common functions and syntax.

Название: Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science
Автор: Inаm Ullаh, Inаm Ullаh Кhаn, Маriуа Оuаissа
Издательство: CRC Press
Год: 2024
Страниц: 253
Язык: английский
Формат: pdf (true)
Размер: 16.0 MB

Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science mainly focuses on the techniques of Artificial Intelligence (AI), Internet of Things (IoT) and Data Science for future communications systems. The goal of AI, IoT and data science for future communications systems is to create a venue for industry and academics to collaborate on the development of network and system solutions based on Data Science, AI and IoT. Recent breakthroughs in IoT, mobile and fixed communications and computation have paved the way for a data‑centric society of the future. New applications are increasingly reliant on machine‑to‑machine connections, resulting in unusual workloads and the need for more efficient and dependable infrastructures. Such a wide range of traffic workloads and applications will necessitate dynamic and highly adaptive network environments capable of self‑optimization for the task at hand while ensuring high dependability and ultra‑low latency. Networking devices, sensors, agents, meters and smart vehicles/systems generate massive amounts of data, necessitating new levels of security, performance and dependability. Such complications necessitate the development of new tools and approaches for providing successful services, management and operation. Data Science is basically utilized to extract meaningful information generated by Artificial Intelligence of Things (AIoT) devices. This will open new opportunities for researchers, engineers and scientists. The merger of AI, IoT and Data Science will enhance communication systems. This book provides detailed information about future communication systems. Also, it explains the relationship between AI, IoT and Data Science.

Название: GPT-3. Руководство по использованию API Open AI
Автор: Caндpa Kyблик, Шyбxaм Caбy
Издательство: ДМК Пресс
Год: 2023
Страниц: 174
Язык: русский
Формат: pdf
Размер: 10.3 MB

В книге исследуется мощная языковая модель GPT-3, упрощающая создание приложений с искусственным интеллектом. Первая часть посвящена основам API OpenAI, во второй описывается динамичная и процветающая среда, возникшая вокруг GPT-3. Представлены рекомендации по использованию GPT-3 для создания новых бизнес-продуктов. Обсуждается влияние GPT-3 на развитие мировой экономики и такие передовые тенденции, как программирование без кода и достижение общего искусственного интеллекта. Книга рассчитана на читателей, интересующихся современными технологиями. Она будет особенно полезна предпринимателям, деятельность которых связана с индустрией искусственного интеллекта, а также тем, кто планирует использовать языковые способности GPT-3 для реализации творческих проектов. Первая часть книги посвящена основам API OpenAI. Во второй части книги мы исследуем пеструю экосистему, органично и стремительно возникшую вокруг GPT-3. В главе 1 изложен контекст и основные определения, необходимые для комфортного изучения дальнейших тем. В главе 2 мы глубоко погружаемся в API, разбивая его на наиболее важные элементы, такие как базовые модели и конечные точки, описывая их назначение и способы использования для читателей, которые хотят взаимодействовать с ними на более глубоком уровне. Глава 3 содержит простой и интересный рецепт для вашего первого приложения на базе GPT-3.

Название: Learn Go with Pocket-Sized Projects (MEAP v7)
Автор: Аliеnоr Lаtоur, Dоniа Сhаiеhlоudj, Раsсаl Веrtrаnd
Издательство: Manning Publications
Год: 2024
Страниц: 487
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

These small Go projects will build big Go skills! Learn hands-on as you build 11 engaging applications. Learn Go with Pocket-Sized Projects teaches you to write professional-level Go code by creating handy tools and fun apps. Each small, self-contained project introduces important practical skills, including ensuring that your code is thoroughly tested and documented! You’ll make architectural decisions for your projects and organize your code in a maintainable way. Everything you learn is easy to scale-up to full-size Go applications. Go delivers the low-level power of system languages like C and Rust with developer-friendly features like garbage collection and a powerful standard library. Millions of programmers choose Go because it speeds up program construction, streamlines dependency management, and makes complex code simple to write, read, and maintain. This book is for developers who want to learn the language in a fun and interactive way, and be comfortable enough to use it professionally. Each chapter is an independent pocket-sized project. The book covers the specificities of the language, such as implicit interfaces and how they help in test design. Testing the code is included throughout the book. We want to help the reader become a good modern software developer while using the Go language. This book also contains tutorials for command-line interfaces, and for both REST and gRPC microservices, showing how the language is great for cloud computing. It finishes with a project that uses TinyGo, the compiler for embedded systems.

Название: Deep Learning with PyTorch, Second Edition (MEAP v3)
Автор: Luса Аntigа, Еli Stеvеns, Ноwаrd Нuаng
Издательство: Manning Publications
Год: 2024
Страниц: 273
Язык: английский
Формат: pdf, epub
Размер: 13.7 MB

Everything you need to create neural networks with PyTorch, including Large Language and diffusion models. Deep Learning with PyTorch, Second Edition updates the bestselling original guide with new insights into the transformers architecture and generative AI models. Instantly familiar to anyone who knows PyData tools like NumPy and Scikit-learn, PyTorch simplifies Deep Learning without sacrificing advanced features. In Deep Learning with PyTorch, Second Edition you’ll learn how to create your own neural network and Deep Learning systems and take full advantage of PyTorch’s built-in tools for automatic differentiation, hardware acceleration, distributed training, and more. PyTorch makes it easy to build the powerful neural networks that underpin many modern advances in Artificial Intelligence. This second edition has been thoroughly revised by PyTorch core developer Howard Huang to cover the latest features and applications, including generative AI models. The book is written for developers, students, or even hobbyists who have some prior experience with the Python programming language and want to gain a better understanding of Deep Learning.

Название: Innovative Machine Learning Applications for Cryptography
Автор: J. Аnithа Ruth, G.V. Vijауаlаkshmi, Р. Visаlаkshi
Издательство: IGI Global
Год: 2024
Страниц: 313
Язык: английский
Формат: pdf (true), epub
Размер: 30.9 MB

Data security is paramount in our modern world, and the symbiotic relationship between Machine Learning and cryptography has recently taken center stage. The vulnerability of traditional cryptosystems to human error and evolving cyber threats is a pressing concern. The stakes are higher than ever, and the need for innovative solutions to safeguard sensitive information is undeniable. Innovative Machine Learning Applications for Cryptography emerges as a steadfast resource in this landscape of uncertainty. Machine Learning's prowess in scrutinizing data trends, identifying vulnerabilities, and constructing adaptive analytical models offers a compelling solution. The book explores how Machine Learning can automate the process of constructing analytical models, providing a continuous learning mechanism to protect against an ever-increasing influx of data. This book goes beyond theoretical exploration, and provides a comprehensive resource designed to empower academic scholars, specialists, and students in the fields of cryptography, Machine Learning, and network security. Its broad scope encompasses encryption, algorithms, security, and more unconventional topics like Quantum Cryptography, Biological Cryptography, and Neural Cryptography. By examining data patterns and identifying vulnerabilities, it equips its readers with actionable insights and strategies that can protect organizations from the dire consequences of security breaches.

Название: SQL All-in-One For Dummies, 4th Edition
Автор: Аllеn G. Тауlоr
Издательство: For Dummies
Год: 2024
Страниц: 800
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

The most thorough SQL reference, now updated for SQL:2023. SQL All-in-One For Dummies has everything you need to get started with the SQL programming language, and then to level up your skill with advanced applications. This relational database coding language is one of the most used languages in professional software development. And, as it becomes ever more important to take control of data, there's no end in sight to the need for SQL know-how. You can take your career to the next level with this guide to creating databases, accessing and editing data, protecting data from corruption, and integrating SQL with other languages in a programming environment. Become a SQL guru and turn the page on the next chapter of your coding career. This book isn’t just about SQL; it’s also about how SQL fits into the process of creating and maintaining databases and database applications. In this book, I cover how SQL fits into the larger world of application development and how it handles data coming in from other computers, which may be on the other side of the world or even in interplanetary space. This Dummies All-in-One guide is for all SQL users—from beginners to more experienced programmers. Find the info and the examples you need to reach the next stage in your SQL journey.

Название: Learn Generative AI with PyTorch (MEAP v2)
Автор: Маrk Liu
Издательство: Manning Publications
Год: 2024
Страниц: 298
Язык: английский
Формат: pdf, epub
Размер: 52.8 MB

Create your own generative AI models for text, images, music, and more! Generative AI tools like ChatGPT, Bard, and DALL-E have transformed the way we work. Learn Generative AI with PyTorch takes you on an incredible hands-on journey through creating and training AI models using Python, the free PyTorch framework and the hardware you already have in your office. Along the way, you’ll master the fundamentals of General Adversarial Networks (GANs), Transformers, Large Language Models (LLMs), variational autoencoders, diffusion models, LangChain, and more! All generative models in this book are deep neural networks. The book starts with a comprehensive Deep Learning project in PyTorch, ideal for those new to the field. Each chapter is carefully structured to build upon the previous one, especially beneficial for readers new to Deep Learning in PyTorch. You'll start by creating basic content like shapes, numbers, and images using Generative Adversarial Networks (GANs) with straightforward architectures. As you progress, the complexity increases, culminating in building advanced models like Transformers.