Книги по GPT/AI/ИИ

 Graphs are a natural way to model the relationships and hierarchies of real-world data. Graph neural networks (GNNs) optimize deep learning for highly-connected data such as in recommendation engines and social networks, along with specialized applications like molecular modeling for drug discovery.About the book Graph Neural Networks in Action teaches you how to analyze and make predic...

 Data Analysis with LLMs teaches you to use the new generation of AI assistants and Large Language Models (LLMs) to aid and accelerate common data science tasks.Learn how to use LLMs to:Analyze text, tables, images, and audio filesExtract information from multi-modal data lakesClassify, cluster, transform, and query multimodal dataBuild natural language query interfaces over structured data s...

 Transform your JavaScript expertise through the power of Open AI API models using “Creating ChatGPT Apps with JavaScript.” This book will guide JavaScript developers to build smart applications while providing tangible knowledge of OpenAI’s API for text summarization, creating transcripts from audio files, generating images, and running models locally on your machine. Through hands-on p...

 Ежедневно в мире происходит более 2 тысяч кибератак. Кибербезопасность входит в число отраслей, которым в ближайшие 5 лет прогнозируют невероятный рост. Она обеспечивает защиту компьютерных систем, сетей, программ и данных от киберугроз (хакерских атак, вирусов, вредоносного ПО и др.). Несмотря на полезность искусственного интеллекта, не следует игнорировать факт, что технологии искусственно...

Learn JavaScript Smarter and Faster! Step into the future of coding with this comprehensive guide to mastering JavaScript. Combining essential programming concepts with AI tools and visual aids, this book is designed for beginners to help you grasp even the most complex ideas quickly and efficiently.Why Choose This Book?Master JavaScript with Carefully Designed Content: This book offers compr...

 The AI Revolution is Here. Discover its Dynamic Applications in Networking, Cybersecurity, and More. AI is having a profound impact on nearly every sector of the workforce. Huge professional and financial opportunities await in the key domains of computer networking, cybersecurity, IoT, and cloud computing. The AI Revolution in Networking, Cybersecurity, and Emerging Technologies will g...

 This practical book offers clear, example-rich explanations of how LLMs work, how you can interact with them, and how to integrate LLMs into your own applications. Find out what makes LLMs so different from traditional software and ML, discover best practices for working with them out of the lab, and dodge common pitfalls with experienced advice. In LLMs in Production you will:Grasp the...

 Automated digital financial advisors—also called robo-advisors—manage billions of dollars in assets. Follow the step-by-step instructions in this hands-on guide, and you’ll learn to build your robo-advisor capable of managing a real investing strategy. In Build a Robo-Advisor with Python (From Scratch) you’ll learn how to:Measure returns and estimate the benefits of robo-advisorsUse Mon...

 In today’s world, understanding data analytics, data science, and artificial intelligence is not just an advantage but a necessity. This book is your thorough guide to learning these innovative fields, designed to make the learning practical and engaging.  The book starts by introducing data analytics, data science, and artificial intelligence. It illustrates real-world application...

 This book explores how to define, design, and maintain enterprise AI applications, exploring the impacts they will have on the teams who work with them. The book is structured into four parts. In Part 1: Defining Your AI Application, you are introduced to the dynamic interplay between human adaptability and AI specialization, the concept of meta systems, and the mechanics of prediction...

 Delivering effective search is one of the biggest challenges you can face as an engineer. AI-Powered Search is an in-depth guide to building intelligent search systems you can be proud of. It covers the critical tools you need to automate ongoing relevance improvements within your search applications. Inside you’ll learn modern, data-science-driven search techniques like: Semantic...

 The era of generative AI is upon us, and this book serves as a roadmap to harness its full potential. With its help, you’ll learn the core components of the AI stack: large language models (LLMs), vector databases, and Python frameworks, and see how these technologies work together to create intelligent applications. The chapters will help you discover best practices for data preparatio...

 Despite promising advances, the opaque nature of deep learning models makes it difficult to interpret them, which is a drawback in terms of their practical deployment and regulatory compliance. Deep Learning and XAI Techniques for Anomaly Detection shows you state-of-the-art methods that'll help you to understand and address these challenges. By leveraging the Explainable AI (XAI) and d...

 “Mastering Large Language Models with Python” is an indispensable resource that offers a comprehensive exploration of Large Language Models (LLMs), providing the essential knowledge to leverage these transformative AI models effectively. From unraveling the intricacies of LLM architecture to practical applications like code generation and AI-driven recommendation systems, readers...

 Эта небольшая книга представляет собой подробное руководство для разработчиков на Python, желающих научиться создавать приложения с использованием больших языковых моделей. Авторы расскажут об основных возможностях и преимуществах GPT-4 и ChatGPT, а также принципах их работы. Здесь же вы найдете пошаговые инструкции по разработке приложений с использованием библиотеки поддержки GPT-4 и ChatG...