Название: LangChain in Action (MEAP v6)
Автор: Roberto Infante
Издательство: Manning Publications
Год: 2025
Страниц: 480
Язык: английский
Формат: pdf, epub
Размер: 29.8 MB

Build amazing business applications using LangChain and LLMs. The LangChain library radically simplifies the process of building production-quality AI applications. It provides a set of intuitive abstractions for the core features of an LLM-based application, along with tools to help you orchestrate those features into a functioning system. LangChain in Action provides clear diagrams and abundant code samples that teach you exactly how to build useful LangChain-based AI apps. Building applications based on LLMs isn’t limited to huge tech companies with unlimited resources. LangChain in Action teaches you to use the user-friendly LangChain library to create your own research assistants, information enterprise chatbots, and more. There’s no long technical deep dives or academic jargon—the book’s pragmatic approach gives you just enough theory to start building working apps. For Python programmers. You only need to know the absolute basics of LLMs to get started—no advanced knowledge required.

Название: Domain-Specific Small Language Models (MEAP v3)
Автор: Guglielmo Iozzia
Издательство: Manning Publications
Год: 2025
Страниц: 237
Язык: английский
Формат: pdf, epub
Размер: 13.5 MB

Bigger isn’t always better. Train and tune highly focused language models optimized for domain specific tasks. When you need a language model to respond accurately and quickly about a specific field of knowledge, the sprawling capacity of a LLM may hurt more than it helps. Domain-Specific Small Language Models teaches you to build generative AI models optimized for specific fields. Domain-Specific Small Language Models teaches you how to create language models that deliver the power of LLMs for specific areas of knowledge. You’ll learn to minimize the computational horsepower your models require, while keeping high–quality performance times and output. You’ll appreciate the clear explanations of complex technical concepts alongside working code samples you can run and replicate on your laptop. Plus, you’ll learn to develop and deliver RAG systems and AI agents that rely solely on SLMs, and without the costs of foundation model access. For Machine Learning engineers familiar with Python.

Название: Integrating Neurocomputing with Artificial Intelligence
Автор: Abhishek Kumar, Pramod Singh Rathore, Sachin Ahuja, Umesh Kumar Lilhore
Издательство: Wiley-Scrivener
Год: 2025
Страниц: 327
Язык: английский
Формат: pdf (true)
Размер: 33.6 MB

Integrating Neurocomputing with Artificial Intelligence provides unparalleled insights into the cutting-edge convergence of neuroscience and computing, enriched with real-world case studies and expert analyses that harness the transformative potential of neurocomputing in various disciplines. Integrating Neurocomputing with Artificial Intelligence is a comprehensive volume that delves into the forefront of the neurocomputing landscape, offering a rich tapestry of insights and cutting-edge innovations. This volume unfolds as a carefully curated collection of research, showcasing multidimensional perspectives on the intersection of neuroscience and computing. Readers can expect a deep exploration of fundamental theories, methodologies, and breakthrough applications that span the spectrum of neurocomputing. AI and Machine Learning, Deep Learning is where it is at right now. More and more academics are paying attention to it since it is a relatively young topic that has grown rapidly in the last time. In the current years, there has been a steady improvement in the presentation of CNN models on Deep Learning problems; these models are among the most significant classical structures in the field. Image classification, semantic separation, target identification, and natural language processing employ convolutional neural networks to autonomously learn sample data feature representations. A CNN model, hybrid CNN, and LSTM that incorporate text features with language knowledge may improve text language processing.

Название: Artificial Intelligence and Machine Learning for Industry 4.0
Автор: M. Thirunavukkarasan, S.A. Sahaaya Arul Mary, Sathiyaraj. R, G.S. Pradeep Ghantasala
Издательство: Wiley-Scrivener
Год: 2025
Страниц: 322
Язык: английский
Формат: pdf (true)
Размер: 10.7 MB

This book is essential for any leader seeking to understand how to leverage intelligent automation and predictive maintenance to drive innovation, enhance productivity, and minimize downtime in their manufacturing processes. Intelligent automation is widely considered to have the greatest potential for Industry 4.0 innovations for corporations. Industrial machinery is increasingly being upgraded to intelligent machines that can perceive, act, evolve, and interact in an industrial environment. The innovative technologies featured in this machinery include the Internet of Things, cyber-physical systems, and Artificial Intelligence (AI). Artificial Intelligence enables computer systems to learn from experience, adapt to new input data, and perform intelligent tasks. Artificial Intelligence and Machine Learning for Industry 4.0 offers contemporary technological advancements in AI and Machine Learning from an Industry 4.0 perspective, looking at their prospects, obstacles, and potential applications.

Название: Secure APIs: Design, build, and implement (MEAP v9)
Автор: José Haro Peralta
Издательство: Manning Publications
Год: 2025
Страниц: 405
Язык: английский
Формат: pdf, epub
Размер: 39.3 MB

Practical, battle-tested techniques to recognize and prevent attacks on your APIs. Hackers know how important your APIs are, and they also know how to find the weak spots in your API security. As a result, APIs have become principal vectors of attack against apps and sites. Here’s the good news! There are effective, tested strategies for finding vulnerabilities, plugging security gaps, and building APIs that are secure by design, as well as a powerful new ally--generative AI. Secure APIs: Design, build, and implement shows you reliable methods you can use to counter cracks, hacks, and attacks on your internal and external APIs. Written for developers and architects, Secure APIs: Design, build, and implement shows you how to create and deploy APIs that are resistant to the most common security threats. Author Jose Peralta illustrates each vulnerability with extended code samples and shows you exactly how to mitigate them in your own APIs. You’ll find insights into emerging AI-powered security threats, along with tips and patterns for using LLMs in your own security testing. For software developers and architects, cybersecurity professionals and QA engineers. Examples are in Python.

Название: .NET Aspire Made Easy (MEAP v3)
Автор: Fiodar Sazanavets
Издательство: Manning Publications
Год: 2025
Страниц: 147
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Write distributed apps naturally on your local machine using .NET Aspire! .NET Aspire radically simplifies the process of building distributed applications! With this powerful tool, you can design, code, and run distributed systems on your local dev machine, even replicating cloud services such as Azure Cosmos DB and Azure Storage. Aspire includes the templates and packages you need to create a complete distributed environment on your local machine, including Kubernetes orchestration, observability, and database integration, all from your familiar Visual Studio IDE. The groundbreaking .NET Aspire framework makes it easy to locally launch distributed applications in a single process, so you can run apps in development the same way they’ll work in production. .NET Aspire Made Easy teaches you to use this powerful framework to build reliable distributed apps without flaky emulators or the need to disable half your services. In .NET Aspire Made Easy you’ll discover the fundamentals of Aspire: how Aspire code is structured, how its components all work together, and how to integrate Aspire apps with databases, message brokers, and other infrastructure. For .NET developers who know C#. No experience with distributed applications needed.

Название: Acing the Certified Kubernetes Administrator Exam, Second Edition (MEAP v1)
Автор: Chad Crowell, Rafael Brito
Издательство: Manning Publications
Год: 2025
Страниц: 166
Язык: английский
Формат: pdf, epub
Размер: 16.9 MB

Acing the Certified Kubernetes Administrator Exam, Second Edition is your fast-track to becoming a Certified Kubernetes Administrator! Branding yourself as a Certified Kubernetes Administrator makes you stand out in the competitive job market for Kubernetes and Cloud-native engineers. With the exam’s latest updates introducing Operators, the Gateway API, and Kustomize, mastering Kubernetes extensibility is now front and center. This second edition of the bestselling original helps you build the skills and strategic insights you need to build production-ready clusters with confidence and ace the updated hands-on CKA exam the first time you sit for it. If you’re familiar with Kubernetes, this book will ensure you’re ready to pass the exam. If you’re brand new, this is the perfect primer to get started on your Kubernetes journey.

Название: Алгоритмы и анализ их сложности
Автор: Косовская Т.М.
Издательство: Ай Пи Эр Медиа
Год: 2023
Формат: pdf
Страниц: 116
Размер: 34.4 Мб
Язык: русский

Излагаются некоторые аспекты вычислительной сложности при работе с целыми числами и графами, а также описаны основные понятия теории алгоритмов и некоторые классы сложности алгоритмов. Приводятся алгоритмы работы с «длинными» целыми числами, которые не помещаются в одну ячейку компьютера, доказываются оценки числа шагов работы этих алгоритмов. Анализируется число шагов решения некоторых задач на графах при разных способах их задания.

Название: Машинное обучение в Elastic Stack
Автор: Кольер Р., Монтонен К., Азарами Б.
Издательство: Москва
Год: 2021 (2022)
Cтраниц: 380
Формат: pdf
Размер: 24 мб
Язык: русский

Elastic Stack – это комплексное решение для анализа журналов, которое помогает пользователям эффективно получать, обрабатывать и анализировать данные поиска. Книга содержит всесторонний обзор функций машинного обучения Elastic Stack (Elastic ML) как для анализа данных временных рядов, так и для классификации, регрессии и обнаружения выбросов.

Название: Структуры и алгоритмы обработки данных в системах автоматизации и управления
Автор: Медведев Д.М.
Издательство: Ай Пи Эр Медиа
Год: 2023
Формат: pdf
Страниц: 120
Размер: 29,07 Мб
Язык: русский

Изложены сведения о структурах и алгоритмах обработки данных в системах автоматизации и управления. Рассмотрены основы алгоритмизации, методы разработки и способы оценки эффективности алгоритмов, алгоритмы сортировки, поиска и хеширования данных, типы данных, структуры данных (таблица, множество, список, стек, очередь, дек, мультисписок, слоеный список, граф, дерево, файл).