Название: Introduction to Python and Large Language Models: A Guide to Language Models
Автор: Dilyan Grigorov
Издательство: Apress
Год: 2024
Страниц: 395
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.1 MB

Gain a solid foundation for Natural Language Processing (NLP) and Large Language Models (LLMs), emphasizing their significance in today’s computational world. This book is an introductory guide to NLP and LLMs with Python programming. The book starts with the basics of NLP and LLMs. It covers essential NLP concepts, such as text preprocessing, feature engineering, and sentiment analysis using Python. The book offers insights into Python programming, covering syntax, data types, conditionals, loops, functions, and object-oriented programming. Next, it delves deeper into LLMs, unraveling their complex components. You’ll learn about LLM elements, including embedding layers, feedforward layers, recurrent layers, and attention mechanisms. You’ll also explore important topics like tokens, token distributions, zero-shot learning, LLM hallucinations, and insights into popular LLM architectures such as GPT-4, BERT, T5, PALM, and others. Additionally, it covers Python libraries like Hugging Face, OpenAI API, and Cohere. The final chapter bridges theory with practical application, offering step-by-step examples of coded applications for tasks like text generation, summarization, language translation, question-answering systems, and chatbots. In the end, this book will equip you with the knowledge and tools to navigate the dynamic landscape of NLP and LLMs. For data analysts, AI and Machine Learning Experts, Python developers, and Software Development Professionals interested in learning the foundations of NLP, LLMs, and the processes of building modern LLM applications for various tasks.

Название: Building Web APIs with ASP.NET Core (Final)
Автор: Valerio De Sanctis
Издательство: Manning Publications
Год: 2023
Страниц: 474
Язык: английский
Формат: pdf (true), epub (true), mobi
Размер: 35.2 MB, 25.9 MB

Build fully-featured APIs with ASP.NET Core! This all-practical guide is written like a real development project, taking you hands-on with modern APIs utilizing REST and GraphQL standards. Building Web APIs with ASP.NET Core is a practical beginner’s guide to creating your first web APIs using ASP.NET Core. In it, you’ll develop an API that feeds web-based services, including websites and mobile apps, for a board games application. The book is cleverly structured to mirror a real-world development project, with each chapter introducing a new feature request. You’ll build your API with an ecosystem of ASP.NET Core tools that help simplify everything from setting up your data model to generating documentation. Web APIs are the front door to an application, providing controlled access to its data and features. ASP.NET Core, Microsoft’s web framework, simplifies and accelerates API creation with powerful, developer-friendly features, including an innovative “no compile” coding experience. It is reliable, fast, free, open-source, and backed by Microsoft’s legendary support.

Название: Understanding Natural Language Understanding
Автор: Erik Cambria
Издательство: Springer
Год: 2025
Страниц: 514
Язык: английский
Формат: pdf (true)
Размер: 18.1 MB

About half a century ago, AI pioneers like Marvin Minsky embarked on the ambitious project of emulating how the human mind encodes and decodes meaning. While today we have a better understanding of the brain thanks to neuroscience, we are still far from unlocking the secrets of the mind, especially when it comes to language, the prime example of human intelligence. “Understanding natural language understanding”, i.e., understanding how the mind encodes and decodes meaning through language, is a significant milestone in our journey towards creating machines that genuinely comprehend human language. Large language models (LLMs) such as GPT-4 have astounded us with their ability to generate coherent, contextually relevant text, seemingly bridging the gap between human and machine communication. Yet, despite their impressive capabilities, these models operate on statistical patterns rather than true comprehension. This textbook explores the current state of LLMs, their capabilities and limitations, and contrasts them with the aspirational goals of NLU. The author delves into the technical foundations required for achieving true NLU, including advanced knowledge representation, hybrid AI systems, and neurosymbolic integration. Containing exercises, a final assignment and a comprehensive quiz, the textbook is meant as a reference for courses on information retrieval, AI, NLP, data analytics, data mining and more.

Название: jаvascript Programming: Versatile, Dynamic Language for Interactive Web Development and Beyond
Автор: Theophilus Edet
Издательство: CompreQuest Books
Год: September 29, 2024
Страниц: 729
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Unleash the Full Power of jаvascript for Interactive Web Development. jаvascript has established itself as a cornerstone of modern web development, enabling developers to create dynamic, interactive experiences that have transformed the web from a static medium into a vibrant, responsive platform. This book, jаvascript Programming: Versatile, Dynamic Language for Interactive Web Development and Beyond, is designed to guide readers through the multifaceted nature of jаvascript, offering both foundational knowledge and advanced techniques for mastering the language. Whether you are a novice programmer or an experienced developer looking to deepen your expertise, this book provides a comprehensive exploration of jаvascript’s capabilities and real-world applications. jаvascript Programming: Versatile, Dynamic Language for Interactive Web Development and Beyond is your go-to resource for mastering jаvascript, the most widely-used language for building interactive web applications. Whether you’re new to jаvascript or looking to sharpen your skills, this book provides everything you need to create dynamic, responsive web experiences.

Название: Responsible AI in Practice: A Practical Guide to Safe and Human AI
Автор: Toju Duke, Paolo Giudici
Издательство: Apress
Год: 2025
Страниц: 216
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB

This book is the first practical book on AI risk assessment and management. It will enable you to evaluate and implement safe and accurate AI models and applications. The book features risk assessment frameworks, statistical metrics and code, a risk taxonomy curated from real-world case studies, and insights into AI regulation and policy, and is an essential tool for AI governance teams, AI auditors, AI ethicists, Machine Learning (ML) practitioners, Responsible AI practitioners, and Computer Science and Data Science students building safe and trustworthy AI systems across businesses, organizations, and universities.

Название: Игры в Scratch для детей
Автор: Трофимов П. А.
Издательство: ДМK
Год: 2019
Cтраниц: 182
Формат: pdf (ocr)
Размер: 31 мб
Язык: русский

Среда программирования Scratch является прекрасным примером для обучения программированию. Интуитивно понятный красочный интерфейс сочетается с быстрым блочным построением алгоритма. Цель этой книги – научить детей основам программирования, создавая собственные небольшие игры. От простого к сложному, понемногу осваивая новые конструкции, вы пройдёте весь путь создания проектов: от идеи до реализации.

Название: C++ & Python Coding Manual - 21th Edition 2025
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2025
Страниц: 148
Язык: английский
Формат: pdf
Размер: 63.5 MB

Сделайте совершенными свои навыки программирования, изучив основы Python и C++! Высококачественные справочники и подробные руководства от команды экспертов по изучению Python и его применению в реальных программах. Понимание основ C++ и навыков оптимизации кода. Python и C++ - это самые мощные и универсальные языки программирования. Понимание и овладение ими позволяет нам лучше разбираться в современных технологиях и как они взаимодействуют с нами и нашим окружением.

Название: PHP and MYSQL: Course and corrected exercises: Master dynamic web development
Автор: Maximilien Lambert
Издательство: Independently published
Год: 2025
Страниц: 507
Язык: английский
Формат: epub (true)
Размер: 18.6 MB

Dive into the captivating world of web programming with "PHP and MySQL: Courses and Corrected Exercises". Whether you're a beginner or a seasoned web developer, this comprehensive book covers all the essential aspects of programming in PHP, specifically designed for those who want to learn to program. This book starts from scratch and is particularly suited for beginners, including those who consider themselves "PHP for Dummies", while also offering advanced knowledge for experienced web developers. PHP programming with MySQL from beginning with the fundamentals with a detailed introduction to the development environment, variables, constants, and operators, you will quickly progress through chapters on conditional structures, loops, and functions. Explore the nuances of arrays in PHP and master the built-in functions to optimize your code. Don't miss this opportunity to explore the vast world of PHP and MySQL programming while strengthening your web development skills.

Название: Collaborative Intelligence: How Humans and AI Are Transforming Our World
Автор: Mira Lane, Arathi Sethumadhavan
Издательство: The MIT Press
Год: December 17, 2024
Страниц: 350
Язык: английский
Формат: epub (true)
Размер: 78.3 MB

A deep look into the multifaceted landscape of Artificial Intelligence, considering AI’s ethical and societal implications and celebrating its diverse and innovative applications. In this edited collection Collaborative Intelligence, Mira Lane and Arathi Sethumadhavan embark on a captivating exploration of Artificial Intelligence. The book delves deeply into the dynamic interplay between theory and practice, shedding light on the transformative potential and complexities of AI. As the global AI market burgeons, this book enables collaboration, knowledge sharing, and interdisciplinary dialogue. It caters not only to the practitioners shaping the AI landscape but also to policymakers striving to navigate the intricate relationship between humans and machines, as well as academics. Divided into two parts, the first half of the book offers readers a comprehensive understanding of AI's historical context, its influence on power dynamics, human-AI interaction, and the critical role of audits in governing AI systems. The second half unfolds a series of eight case studies, unraveling AI’s impact on fields as varied as healthcare, vehicular safety, conservation, human rights, and the metaverse. Each chapter in this book paints a vivid picture of AI’s triumphs and challenges, providing a panoramic view of how it is reshaping our world.

Название: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
Автор: Stefano V. Albrecht, Filippos Christianos, Lukas Schäfer
Издательство: The MIT Press
Год: December 17, 2024
Страниц: 396
Язык: английский
Формат: epub (true)
Размер: 14.3 MB

The first comprehensive introduction to Multi-Agent Reinforcement Learning (MARL), covering MARL’s models, solution concepts, algorithmic ideas, technical challenges, and modern approaches. Multi-Agent Reinforcement Learning (MARL), an area of Machine Learning in which a collective of agents learn to optimally interact in a shared environment, boasts a growing array of applications in modern life, from autonomous driving and multi-robot factories to automated trading and energy network management. This text provides a lucid and rigorous introduction to the models, solution concepts, algorithmic ideas, technical challenges, and modern approaches in MARL. The book first introduces the field’s foundations, including basics of reinforcement learning theory and algorithms, interactive game models, different solution concepts for games, and the algorithmic ideas underpinning MARL research. It then details contemporary MARL algorithms which leverage Deep Learning techniques, covering ideas such as centralized training with decentralized execution, value decomposition, parameter sharing, and self-play. The book comes with its own MARL codebase written in Python, containing implementations of MARL algorithms that are self-contained and easy to read.