Название: Российская армия в наполеоновскую эпоху (1799-1815 гг.): организация, комплектование, тактика
Автор: Мезенцев Е. В.
Издательство: Москва
Год: 2020
Cтраниц: 360 с. : табл.
Формат: pdf (ocr)
Размер: 22 мб
Язык: русский

Объектом изучения в монографии является организация, комплектование и тактика русской армии в наполеоновскую эпоху. Автор не претендует на полное и всестороннее освещение выбранной темы. Эта задача, тем более в ограниченном объеме листажа, непосильна одному человеку. Его цель гораздо скромнее – дать целостную картину общего состояния русской армии на рубеже ХVIII–XIX столетий, уточнив при этом целый ряд не проясненных ранее исследователями вопросов и введя в научный оборот новые факты о той эпохе.

Название: Data Storytelling with Altair and AI (Final Release)
Автор: Angelica Lo Duca
Издательство: Manning Publications
Год: 2024
Страниц: 386
Язык: английский
Формат: pdf (true)
Размер: 11.1 MB

Great data presentations tell a story. Learn how to organize, visualize, and present data using Python, generative AI, and the cutting-edge Altair data visualization toolkit. Take the fast track to amazing data presentations! Data Storytelling with Altair and AI introduces a stack of useful tools and tried-and-tested methodologies that will rapidly increase your productivity, streamline the visualization process, and leave your audience inspired. Data Storytelling with Altair and AI teaches you how to turn raw data into effective, insightful data stories. You’ll learn exactly what goes into an effective data story, then combine your Python data skills with the Altair library and AI tools to rapidly create amazing visualizations. Your bosses and decision-makers will love your new presentations—and you’ll love how quick Generative AI makes the whole process! Every dataset tells a story. After you’ve cleaned, crunched, and organized the raw data, it’s your job to share its story in a way that connects with your audience. Python’s Altair data visualization library, combined with generative AI tools like Copilot and ChatGPT, provide an amazing toolbox for transforming numbers, code, text, and graphics into intuitive data presentations. For data analysts and data scientists experienced with Python. No previous knowledge of Altair or Generative AI required.

Название: Idiomatic Rust: Code like a Rustacean (Final Release)
Автор: Brenden Matthews
Издательство: Manning Publications
Год: 2024
Страниц: 257
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Build stable, maintainable Rust applications by applying these important code and architectural design patterns. Rust Advanced Techniques introduces reusable best practices that will help you solve common programming problems and ensure your code is easy for others to understand. Learn when to use each design pattern, as well as when to break it. This practical guide catalogs, documents, and describes both how classic design patterns work with Rust, and the new Rust-specific patterns that will help you master the language. Rust Advanced Techniques presents dozens of established programming and architecture solutions that take advantage of Rust’s unique language design. You’ll start with the basics of generics and traits, using them as a foundation to rapidly progress to metaprogramming, building your own libraries, and even advanced patterns like fluent interfaces and making immutable structures. Throughout this unique book, you’ll find useful code samples that are easy to adapt and reuse for your own projects. Hone your Rust skills with functional programming techniques, and explore examples of common anti-patterns so you know mistakes to avoid. You’ll soon have an in-depth understanding of when and how to apply each design pattern, and even create your very own! For the more advanced Rust programmers. Experienced Rustceans will benefit from tips and tricks that help speed up delivery and make full use of Rust’s lesser-known features.

Название: AI-Powered Developer: Build great software with ChatGPT and Copilot (Final Release)
Автор: Nathan B. Crocker
Издательство: Manning Publications
Год: 2024
Страниц: 242
Язык: английский
Формат: pdf (true)
Размер: 21.1 MB

Use groundbreaking generative AI tools to increase your productivity, efficiency, and code quality. You just got a promotion! AI coding tools like GitHub Copilot, ChatGPT, and Amazon CodeWhisperer turn every developer into an engineering manager, overseeing a super-smart and super-fast junior coder. AI-Powered Developer demonstrates effective techniques and best practices for getting the most out of AI-powered coding using tools like Copilot and ChatGPT. The book cuts through the hype, showcasing real-world examples of how these tools ease and enhance your everyday tasks. You’ll soon be using AI for everything from writing boilerplate to assisting with software design. AI-Powered Developer shows you how to put AI coding tools like Github Copilot and ChatGPT into action. Throughout the book, you’ll generate code and design ideas as you build an IT Asset Management system using AI in every step of the development process. Clear advice and hands-on examples show you how to integrate these tools into your daily workflow. You’ll create self-documenting applications, generate predictive suggestions, and even use AI to test and explain your code. This practical book helps you develop an instinct for AI code and an understanding of what problems AI can and can’t solve. You’ll soon be confident in your transition to this new way to build software, aided by your diligent team of AI assistants. For software developers familiar with Python.

Название: Как помочь Душе покойного пройти через Переход и уйти в Космос? Практический сеанс проводов Души в Свет
Автор: Натали Любимова
Издательство: Литрес
Год: 2024
Страниц: 40
Формат: pdf
Язык: русский
Размер: 10,2 Мб

Эта книга написана по просьбе Сил Космоса для того, чтобы помочь Душам покойных, застрявшим между мирами, пройти через Переход и уйти в Космос. В начале книги можно посмотреть описание признаков того, что Душа Вашего близкого человека не упокоена и не может пройти через Переход. Если Душа Вашего близкого застряла между мирами и нуждается в помощи - бережно и мягко мы с Вами проведем ее по всем этапам Перехода. Мы разберем и устраним все, что мешает покойному благополучно пройти через Переход.

Название: Docker для начинающих: Шаг за шагом
Автор: Максим Дуплей
Издательство: Stepik
Год: 2024
Формат: PDF
Страниц: много
Размер: 12 Mb
Язык: Русский

Docker для начинающих: Шаг за шагом - предназначен для разработчиков, системных администраторов и DevOps-специалистов, желающих освоить современный инструмент для контейнеризации приложений.

Название: Профориентация для взрослых
Автор: Алина Стабровская
Издательство: Stepik
Год: 2024
Формат: PDF
Страниц: много
Размер: 9 Mb
Язык: Русский

Первая премиальная практическая программа на рынке, которая не просто помогает сменить профессию во взрослом возрасте, но и учит выстраивать образовательный путь к реализации мечты. Для новой профессии или дополнительного источника дохода, для раскрытия себя и построения образовательной и карьерной траектории. Проведете глубокий анализ своих ресурсов и потребностей, ценностных ориентиров, определите идеальную профессиональную среду. Сможете найти точки роста, составите план обучения и карьерного развития.

Название: Большое пособие по питанию для микробиоты кишечника
Автор: Анастасия Родионова
Издательство: Интернет-издание
Год: 2024
Формат: PDF
Страниц: много
Размер: 112 Mb
Язык: Русский

Для кого подойдет пособие: Для осознанных и занятых людей, которые хотят есть по-настоящему правильно и не тратить на это время. Для людей с проблемами ЖКТ: СИБР, СРК, дисбиозы, вздутия, запоры, аллергии. Для мам которые хотят кормить своих детей супер полезно, но у них нет времени на готовку. Для людей которые хотят разобраться в теме ПРЕбиотиков и микробиоты.

Название: LLMs and Generative AI for Healthcare: The Next Frontier
Автор: Kerrie Holley, Manish Mathur
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 266
Язык: английский
Формат: epub
Размер: 43.0 MB

Large language models (LLMs) and Generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and Generative AI today and in the future, using storytelling and illustrative use cases in healthcare. Authors Kerrie Holley, former Google healthcare professionals, guide you through the transformative potential of large language models (LLMs) and generative AI in healthcare. From personalized patient care and clinical decision support to drug discovery and public health applications, this comprehensive exploration covers real-world uses and future possibilities of LLMs and generative AI in healthcare. LLMs are natural language processing (NLP) Machine Learning models that can seemingly understand and generate human language text. LLMs are a type of Artificial Intelligence (AI) that comprehends and manipulates human language with remarkable proficiency. They are called “large” because they are trained on vast amounts of text data, often billions of words, which enables them to learn the nuances of human language. Generative AI is a subset or type of AI, just as LLMs and Machine Learning are types of AI. Generative AI is focused on creating new content such as text, images, video, or audio often in response to a user’s questions. The generated outputs often resemble human created content in terms of style and structure. When we use phrases such as LLMs or generative AI in this book, we do so as catch-all terms that encompass a wide range of AI systems, even if they have different attributes or employ different Machine Learning algorithms. These catch-all terms include but are not limited to LLMs, small language models, multimodal models, and generative AI.

Название: Large Language Models: Concepts, Techniques and Applications
Автор: John Atkinson‑Abutridy
Издательство: CRC Press
Год: 2025
Страниц: 185
Язык: английский
Формат: pdf (true)
Размер: 10.15 MB

This book serves as an introduction to the science and applications of Large Language Models (LLMs). You'll discover the common thread that drives some of the most revolutionary recent applications of Artificial Intelligence (AI): from conversational systems like ChatGPT or BARD, to machine translation, summary generation, question answering, and much more. At the heart of these innovative applications is a powerful and rapidly evolving discipline, natural language processing (NLP). For more than 60 years, research in this science has been focused on enabling machines to efficiently understand and generate human language. The secrets behind these technological advances lie in LLMs, whose power lies in their ability to capture complex patterns and learn contextual representations of language. How do these LLMs work? What are the available models and how are they evaluated? This book will help you answer these and many other questions. Designed to guide you step by step, with six chapters combining theory and practice, along with exercises in Python on the Colab platform, you will master the secrets of LLMs and their application in NLP. From deep neural networks and attention mechanisms, to the most relevant LLMs such as BERT, GPT-4, LLaMA, Palm-2 and Falcon, this book guides you through the most important achievements in NLP. Not only will you learn the benchmarks used to evaluate the capabilities of these models, but you will also gain the skill to create your own NLP applications. It will be of great value to professionals, researchers and students within AI, Data Science and beyond.