Название: LLM Adoption in the Enterprise: A Guide to Building Meaningful Products with Generative AI
Автор: Isabelle Nguyen
Издательство: O’Reilly Media, Inc.
Год: 2024-03-27
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Using large language models (LLMs) as an example, this concise guide illustrates how enterprises should approach the introduction of generative AI into their business models. From a practical understanding of the technology, to efficient and dynamic cross-functional product teams, to agile product lifecycles: packed with real-world examples, this report aims to equip thought leaders with a readily applicable framework for building with AI. Tailored copy written by a chatbot, automated code reviews, and a fully AI-driven yet empathetic and helpful customer support. The potential of large language models (LLMs) to increase productivity and drive return on investment (ROI) seems too good to be true. But this disruptive technology also presents a challenge that goes beyond cost and technical know-how. To bring an LLM-based application to production, product leaders need a pragmatic understanding of the technology, the business outcomes it can drive, and the skills required to bring their product idea to life. They must be able to lead diverse teams through the adoption process and respond to new challenges as they arise. By learning to overcome their initial awe of a new and groundbreaking technology, product leads can begin to embrace the potential of LLMs to address their users’ pain points. In this way, LLMs become a powerful addition to the product team’s toolbox that, when used properly, can solve a variety of text-based problems.

Название: jаvascript и Node.js для веб-разработчиков
Автор: Прохоренок Н.А., Дронов В.А.
Издательство: БХВ-Петербург
Год: 2022
Страниц: 767
Язык: русский
Формат: pdf
Размер: 10.3 MB

Книга рассказывает о языке программирования jаvascript, разработке на нем как программ общего назначения, выполняющихся в среде Node.js, так и скриптов для веб-страниц. Даны основы jаvascript: типы данных, операторы, работа с числами, строками, датой и временем, массивами, функции, классы (как старого, так и нового синтаксиса), итераторы, генераторы и класс Promise. Объяснена работа с отладчиком, встроенным в редактор Visual Studio Code. Рассказано о модулях, средствах для работы с файловой системой и программирования веб-серверов. Описана объектная модель документа. Рассмотрены средства для работы с элементами веб-страницы, самой страницей и браузером и технология AJAX (в том числе Fetch API), а также готовые программные пакеты для разработки веб-сайтов, в частности Webpack. С появлением Node.js появилась возможность писать на jаvascript программы практически любого назначения: инструментальные и системные утилиты, серверы и даже приложения с графическим интерфейсом (правда, для этого понадобятся дополнительные библиотеки). Предлагаемая вниманию читателей книга рассказывает о языке jаvascript, его применении для написания как программ, работающих под управлением Node.js, так и скриптов, выполняемых веб-браузерами. По сути, это всеобъемлющее руководство для jаvascript-программистов, желающих знать об этом языке все.

Название: Computational Intelligence and Blockchain in Complex Systems: System Security and Interdisciplinary Applications
Автор: Fadi Al-Turjman
Издательство: Morgan Kaufmann/Elsevier
Год: 2024
Страниц: 320
Язык: английский
Формат: epub, mobi
Размер: 11.0 MB

Computational Intelligence and Blockchain in Complex Systems: System Security and Interdisciplinary Applications provides readers with a guide to understanding the dynamics of AI, Machine Learning, and Computational Intelligence in Blockchain and how these rapidly developing technologies are revolutionizing a variety of interdisciplinary research fields and applications. The book examines a number of applications, including healthcare, insurance, smart grid, smart contracts, digital currency, precision agriculture, and the supply chain. The authors cover the unique and developing intersection between cybersecurity and Blockchain in modern networks, as well as in-depth studies on cybersecurity challenges and multidisciplinary methods in modern Blockchain networks. Readers will find mathematical equations throughout the book as part of the underlying concepts and foundational methods, especially the complex algorithms involved in Blockchain security aspects for hashing, coding, and decoding. This book provides readers with the most in-depth technical guide to the intersection of Computational Intelligence and Blockchain, two of the most important technologies for the development of next generation complex systems.

Название: Domain-Specific Computer Architectures for Emerging Applications: Machine Learning and Neural Networks
Автор: Chao Wang
Издательство: CRC Press
Год: 2024
Страниц: 417
Язык: английский
Формат: pdf (true)
Размер: 37.9 MB

With the end of Moore’s Law, domain-specific architecture (DSA) has become a crucial mode of implementing future computing architectures. This book discusses the system-level design methodology of DSAs and their applications, providing a unified design process that guarantees functionality, performance, energy efficiency, and real-time responsiveness for the target application. DSAs often start from domain-specific algorithms or applications, analyzing the characteristics of algorithmic applications, such as computation, memory access, and communication, and proposing the heterogeneous accelerator architecture suitable for that particular application. In the emerging field of big data, machine learning, data mining, and artificial intelligence algorithms, as the core components of next‑generation applications, have attracted more attention from researchers. Utilizing existing hardware and software means to carry out the design of a new algorithmic architecture has become a hot research topic nowadays. Accelerating new algorithms in the era of big data is very different from the past. Machine Learning is concerned with using data to construct appropriate predictive models to make predictions about unknown data. According to the similarity of the presentation and implementation of Machine Learning algorithms, we can categorize the algorithms such as Bayesian‑based algorithms and neural network‑based algorithms. Of course, the scope of machine learning is so vast that some algorithms are difficult to categorize explicitly into a particular class, and for some classifications, algorithms of the same classification can target different types of problems.

Название: Искусственный интеллект. Машинное обучение
Автор: Джейд Картер
Издательство: Литрес
Год: 2024
Формат: pdf, epub
Размер: 10 Мб
Качество: Хорошее
Язык: Русский

Исследуйте мир машинного обучения с этой книгой, предназначенной для тех, кто стремится погрузиться в фундаментальные принципы и передовые методы этой динамично развивающейся области. От введения в основные концепции до глубокого погружения в продвинутые техники и приложения, каждая глава представляет собой комплексное исследование, подкрепленное практическими примерами и советами.

Название: Intelligent Quantum Information Processing
Автор: Siddhartha Bhattacharyya, Iván Cruz-Aceves, Arpan Deyasi
Издательство: CRC Press
Серия: Quantum Machine Intelligence
Год: 2024
Страниц: 255
Язык: английский
Формат: pdf (true)
Размер: 13.3 MB

The book discusses the foundations of intelligent quantum information processing applied to several real-life engineering problems, including intelligent quantum systems, intelligent quantum communication, intelligent process optimization, and intelligent quantum distributed networks. Quantum computer, as the name suggests, principally works on several quantum physical features. These could be used as an immense alternative to today’s apposite computers since they possess faster processing capability (even exponentially) than classical computers. The term “quantum computing” is fundamentally a synergistic combination of thoughts from quantum physics, classical information theory, and Computer Science. This volume aims to bring together recent advances and trends in the methodological approaches, theoretical studies, and mathematical and applied techniques related to intelligent quantum information processing and their applications to engineering problems. The scope of the book, in essence, is confined to but not bounded to introducing different novel hybrid quantum computational algorithms for addressing the limitations of the conventional information processing algorithms, including quantum machine learning, quantum key distribution, quantum information processing, quantum encryption algorithms, quantum networks, and quantum knowledge discovery in databases, to name a few.

Название: From Concepts to Code: Introduction to Data Science
Автор: Adam P. Tashman
Издательство: CRC Press
Год: 2024
Страниц: 386
Язык: английский
Формат: pdf (true)
Размер: 17.4 MB

The breadth of problems that can be solved with Data Science is astonishing, and this book provides the required tools and skills fot a broad audience. The reader takes a journey into the forms, uses, and abuses of data and models, and learns how to critically examine each step. Python coding and data analysis skills are built from the ground up, with no prior coding experience assumed. The necessary background in Computer Science, mathematics, and statistics is provided in an approachable manner. This text uses Python because it is one of the most popular languages for Data Science, it supports the tasks we need to accomplish, and it is relatively easy to learn. It will teach Python by diving into problems with data and solving challenges. It will not methodically catalog what each operator does, what each control structure looks like, and so forth. There are excellent references for learning in this way, with suggestions given later. Finally, the book includes many exercises across different topics, with the hope that they are interesting and motivating. Each step of the Machine Learning lifecycle is discussed, from business objective planning to monitoring a model in production. This end-to-end approach supplies the broad view necessary to sidestep many of the pitfalls that can sink a Data Science project.

Название: Game AI Uncovered: Volume Two
Автор: Paul Roberts
Издательство: CRC Press
Год: 2024
Страниц: 227
Язык: английский
Формат: pdf (true)
Размер: 15.6 MB

Game AI Uncovered: Volume Two continues the series with the collected wisdom, ideas, tricks and cutting‑edge techniques from 22 of the top game AI professionals and researchers from around the world. The techniques discussed in these pages cover the underlying development of a wide array of published titles, including The Survivalists, Wheelman, Plants vs. Zombies: Battle for Neighborville, Dead Space, Zombie Army 4, Evil Genius 2, Sniper Elite 5, Sonic & All‑Stars Racing Transformed, DiRT: Showdown, and more. Contained within this volume are overviews and insights covering a host of different areas within game AI, including generalised planners, player imitation, awareness, dynamic behaviour trees, decision‑making architectures, agent learning for automated playthroughs, utility systems, Machine Learning for cinematography, directed acyclic graphs, environment steering, difficulty scenarios, environmental cues through voxels, automated testing approaches, dumbing down your AI, synchronized path following, and much more. Beginners to the area of game AI, along with professional developers, will find a wealth of knowledge that will not only help in the development of your own games but also spark ideas for new approaches.

Название: Essential Programming for the Technical Artist
Автор: Chris Roda
Издательство: CRC Press
Год: 2024
Страниц: 521
Язык: английский
Формат: pdf (true)
Размер: 76.3 MB

This book is based on a successful curriculum designed to elevate technical artists with no programming experience up to essential programming competency as quickly as possible. Instead of abstract, theoretical problems, the curriculum employs familiar applications encountered in real production environments to demonstrate each lesson. Written with artists in mind, this book introduces novice programmers to the advantageous world of Python programming with relevant and familiar examples. Any digital artists (not just technical artists) will find this book helpful in assisting with day-to-day production activities. Concentrating upon subjects relevant to the creation of computer graphic assets, this book introduces Python basics, functions, data types, object-oriented programming, exception handling, file processing, graphical user interface creation, PEP 8 standards, and regular expressions. Programming within the SideFX Houdini 3D animation software provides a familiar environment for artists to create and experiment with the covered Python topics.

Название: Pythonic Quant: A Comprehensive Guide to Python in Finance
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2024
Страниц: 586
Язык: английский
Формат: pdf
Размер: 27.6 MB

Dive into the heart of quantitative finance with 'Pythonic Quant,' your definitive guide to mastering the fusion of Python programming and financial analysis. This book is designed for finance professionals, investors, and economists who have a foundational grasp of Python and are eager to elevate their expertise to new heights. In a world where market complexities surge and the call for innovative financial strategies grows louder, 'Pythonic Quant' emerges as a crucial resource. It moves beyond introductory concepts to explore the sophisticated techniques that marry theory with practical application, steering you through the advanced realms of quantitative finance with ease and precision. Targeted at a discerning audience, 'Pythonic Quant' is not just a book—it's an advancement toolkit for financial analysts, risk management experts, quantitative traders, and anyone involved in crafting cutting-edge investment strategies. With content that spans from refreshing Python basics specifically for finance to unveiling the latest in Machine Learning algorithms, sophisticated mathematical models, and beyond, this book is a treasure trove of knowledge for the year 2024 and onward.