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Название: Developing Apps with GPT-4 and ChatGPT: Build Intelligent Chatbots, Content Generators, and More (2nd Edition)
Автор: Olivier Caelen, Marie-Alice Blete
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 467
Язык: английский
Формат: epub
Размер: 12.2 MB

This book provides an ideal guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and GPT-3.5 models and explain how they work. You'll also get a step-by-step guide for developing applications using the OpenAI Python library, including text generation, Q&A, and smart assistants. Written in clear and concise language, Developing Apps with GPT-4 and ChatGPT includes easy-to-follow examples to help you understand and apply the concepts to your projects. Python code examples are available in a GitHub repository, and the book includes a glossary of key terms. Ready to harness the power of large language models in your applications? This book is a must.

Название: Upskilling AI Professionals: Defining Skills and Identifying Pitfalls
Автор: Thomas Nield
Издательство: O’Reilly Media, Inc.
Год: 2024-07-10
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

The world of Artificial Intelligence (AI) is in constant flux. Amid this barrage of rapidly evolving information, today's professionals often find it challenging to identify crucial skills and prioritize their learning. To thrive, you need clear, actionable guidance that cuts through the clutter, enabling you to effectively upskill in the AI landscape. In this indispensable report, author Thomas Nield offers vital tools for any AI professional looking to make informed decisions about their skill development. It delivers strategic insights into selecting impactful projects and skills, ensuring that your learning translates into real-world solutions. There are many types of AI products and services for sale, and they all require different skills and serve different talent roles. Discerning these differences allows us to avoid many pitfalls and fallacies in developing talent. After all, an “AI expert” can be anyone from a deep learning researcher to a prompt engineer—or even an operations research specialist who never touches a neural network. This report is written for business and technology professionals looking to upskill for the artificial intelligence boom, as well as executives seeking to upskill their teams. From reading this report, you will learn how to frame skill objectives toward specific outcomes and how upskilling is best started with a problem definition. We will also talk about different areas that translate to different skills needs and what specialties you might want to lean into.

Название: Hybrid Information Systems: Non-Linear Optimization Strategies with Artificial Intelligence
Автор: Edited by: Ramakant Bhardwaj , Pushan Kumar Dutta , Pethuru Raj , Abhishek Kumar , Kavita Saini , Alfonso González Briones and Mohammed K.A. Kaabar
Издательство: De Gruyter
Год выхода: 2024
Страниц: 520
Формат: PDF, EPUB
Размер: 106 MB
Язык: английский

The book provides comprehensive and cognitive approach to building and deploying sophisticated information systems. The book utilizes non-linear optimization techniques, fuzzy logic, and rough sets to model various real-world use cases for the digital era. The hybrid information system modeling handles both qualitative and quantitative data and can effectively handle uncertainty and imprecision in the data. The combination of non-linear optimization mechanisms, fuzzy logic, and rough sets provides a robust foundation for next-generation information systems that can fulfill the demands of adaptive, aware, and adroit software applications for the knowledge era. The book emphasizes the importance of the hybrid approach, which combines the strengths of both mathematical and AI techniques, to achieve a more comprehensive and effective modeling process. Hybrid information system modeling techniques combine different approaches, such as fuzzy logic, rough sets, and neural networks, to create models that can handle the complexity and uncertainty of real-world problems. These techniques provide a powerful tool for modeling and analyzing complex systems, and the applications of hybrid information system modeling demonstrate their potential for solving real-world problems in various fields.

Название: Ultimate Python for Fintech Solutions: Build Modern Financial Applications and Fintech Solutions Using Finance Packages and Blockchain with Python
Автор: Bhagvan Kommadi
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 390
Язык: английский
Формат: epub (true)
Размер: 50.5 MB

Creating Next Gen Apps in Finance. Dive into the dynamic world where finance meets fintech with Python's versatile capabilities in this 'Ultimate Python for Fintech Solutions'.Whether you're aiming to build secure trading platforms, conduct deep statistical analysis, or pioneer next-generation financial technologies, this book quips you with the knowledge, tools, and practical insights to succeed. This book starts with Python's foundational programming techniques, essential for understanding financial principles and laying the groundwork for robust applications. You will learn to build scalable solutions that handle complex financial data with ease by using Python for analysis, forecasting, and data visualization. Next, it moves to explore advanced topics like AI/ML applications tailored for finance, enabling you to unlock predictive insights and streamline decision-making processes. You will discover how Python integrates cutting-edge technologies such as Big Data and Blockchain, to offer innovative solutions for modern fintech challenges. By the end of this expansive book, you will gain the expertise needed to develop sophisticated financial applications, visualize data effectively across desktop and web platforms, and drive innovation in fintech.

Название: Game Development with Unreal Engine 5 Volume 1: Design Phase
Автор: Tiow Wee Tan
Издательство: Apress
Год: 2024
Страниц: 423
Язык: английский
Формат: pdf (true)
Размер: 41.1 MB

Dive into the heart of game development with Unreal Engine 5 (UE5), the latest revolution in creating immersive and visually stunning game worlds. Crafted to encourage your imaginative and inventive skills, Volume 1 of this two-part guide stands as a crucial tool in your journey towards developing incredible video games with UE5 and serves as a transition into the programming dimensions of game creation with C++ featured in Volume 2. Blending artistic mastery with technical prowess, you’ll journey from the basics of UE5’s environment to creating expansive landscapes with procedural content generation and combining materials for lifelike terrains. Discover the power of Quixel Bridge and Megascans to bring realistic textures and models into your projects, and master Nanite for rendering complex scenes with cinematic fidelity. You’ll also learn to create dynamic lighting and shadow effects with Lumen, enrich your game’s atmosphere with sophisticated particle systems using Niagara. Then integrate characters and adversaries into our worlds, making them come alive with interactive elements. From designing large open landscapes to implementing advanced visual effects, Game Development with UE 5, Volume 1 is your gateway to elevating the visual appeal and interactive experience of your game. For game developers who want to learn how to use Unreal Engine 5 would benefit from this book.

Название: Generative Artificial Intelligence: Exploring the Power and Potential of Generative AI
Автор: Shivam R Solanki, Drupad K Khublani
Издательство: Apress
Год: 2024
Страниц: 465
Язык: английский
Формат: pdf (true), epub
Размер: 18.4 MB

This book explains the field of Generative Artificial Intelligence (AI), focusing on its potential and applications, and aims to provide you with an understanding of the underlying principles, techniques, and practical use cases of Generative AI models. The book begins with an introduction to the foundations of Generative AI, including an overview of the field, its evolution, and its significance in today’s AI landscape. It focuses on generative visual models, exploring the exciting field of transforming text into images and videos. A chapter covering text-to-video generation provides insights into synthesizing videos from textual descriptions, opening up new possibilities for creative content generation. A chapter covers generative audio models and prompt-to-audio synthesis using Text-to-Speech (TTS) techniques. Then the book switch gears to dive into generative text models, exploring the concepts of Large Language Models (LLMs), natural language generation (NLG), fine-tuning, prompt tuning, and reinforcement learning. The book explores techniques for fixing LLMs and making them grounded and indestructible, along with practical applications in enterprise-grade applications such as question answering, summarization, and knowledge-based generation. By the end of this book, you will understand Generative text, and audio and visual models, and have the knowledge and tools necessary to harness the creative and transformative capabilities of Generative AI.

Название: Why Machines Learn: The Elegant Math Behind Modern AI
Автор: Anil Ananthaswamy
Издательство: Dutton
Год: 2024
Страниц: 480
Язык: английский
Формат: epub (true)
Размер: 43.6 MB

A rich, narrative explanation of the mathematics that has brought us Machine Learning and the ongoing explosion of Artificial Intelligence. Machine Learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether someone gets bail. They now influence developments and discoveries in chemistry, biology, and physics—the study of genomes, extra-solar planets, even the intricacies of quantum systems. And all this before large language models such as ChatGPT came on the scene. We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of Computer Science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind Machine Learning, while suggesting intriguing links between artifical and natural intelligence. Might the same math underpin them both? As Ananthaswamy resonantly concludes, to make safe and effective use of Artificial Intelligence, we need to understand its profound capabilities and limitations, the clues to which lie in the math that makes Machine Learning possible.

Название: Software Design for Resilient Computer Systems 3rd Edition
Автор: Igor Schagaev, Jürg Gutknecht
Издательство: Springer
Год: 2024
Страниц: 414
Язык: английский
Формат: pdf (true)
Размер: 14.3 MB

This book addresses the question of how system software should be designed to account for faults, and which fault tolerance features should provide for highest reliability. With this third edition of Software Design for Resilient Computer Systems, the book is thoroughly updated to contain the newest advice regarding software resilience. With a new introductory chapter, the new edition is ideal for researchers and industry professionals. In the book, the authors first show how system software interacts with the hardware to tolerate faults. They analyze and further develop the theory of fault tolerance to understand the diverse ways to increase the reliability of a system, with special attention on the role of system software in this process. They introduce the theory of redundancy and its use for construction of a subsystem through generalised algorithm of fault tolerance (GAFT) and apply it to distributed systems. The book’s approach is applied to various hardware subsystems: different structures of RAM and processor cores and demonstrates exceptional performance reliability and energy efficiency. This third edition devotes substantial attention to system software for modern computers, including run time systems, supporting algorithms of recovery and their analysis, language aspects and ways to improve reconfigurable and parallel computing. Due to the wide-reaching nature of the content, this book applies to a host of industries and research areas, including military, aviation, intensive health care, industrial control, and space exploration.

Название: Cognitive Machine Intelligence: Applications, Challenges, and Related Technologies
Автор: Inam Ullah Khan, Salma El Hajjami, Mariya Ouaissa, Salwa Belaqziz
Издательство: CRC Press
Серия: Intelligent Data-Driven Systems and Artificial Intelligence
Год: 2025
Страниц: 373
Язык: английский
Формат: pdf (true)
Размер: 12.9 MB

Cognitive Machine Intelligence: Applications, Challenges, and Related Technologies offers a compelling exploration of the transformative landscape shaped by the convergence of Machine Intelligence, Artificial Intelligence (AI), and cognitive computing. In this book, the authors navigate through the intricate realms of technology, unveiling the profound impact of cognitive machine intelligence on diverse fields such as communication, healthcare, cybersecurity, and smart city development. The chapters present study on robots and drones to the integration of Machine Learning with wireless communication networks, IoT, quantum computing, and beyond. The book explores essential role of Machine Learning in healthcare, security, and manufacturing. With a keen focus on privacy, trust, and the improvement of human lifestyles, this book stands as a comprehensive guide to the novel techniques and applications driving the evolution of cognitive machine intelligence. The vision presented here extends to smart cities, where AI-enabled techniques contribute to optimal decision-making, and future computing systems address end-to-end delay issues with a central focus on Quality-of-Service metrics. Cognitive Machine Intelligence is an indispensable resource for researchers, practitioners, and enthusiasts seeking a deep understanding of the dynamic landscape at the intersection of Artificial Intelligence and cognitive computing.

Название: TypeScript Crash Course: A Hands-On Guide to Building Safer and More Reliable Web Applications
Автор: Daniel Cavalcante
Издательство: BPB Publications
Год: 2024
Страниц: 274
Язык: английский
Формат: pdf, azw3, epub (true), mobi
Размер: 10.1 MB

Build scalable and reliable web applications with TypeScript. Navigating the dynamic landscape of web development can be a daunting task, "TypeScript Crash Course" is a guide to help you on the journey of mastering TypeScript, one of today's most sought-after skills in the tech market. Starting from the basics and core principles to gradually building up to more advanced concepts, this book will help you move to practical examples of converting an application from jаvascript, React, and Node to TypeScript. This book also offers insights into leveraging TypeScript for both front-end and back-end development, ensuring readers can tackle any project with confidence, from development to deployment. This guide is not just about learning a new programming language; it is about enhancing your career in the tech industry by building more reliable applications. This book focuses on applying TypeScript in diverse practical scenarios to significantly shorten your learning curve. It also dispels common myths and misconceptions about TypeScript, equipping you with the knowledge to navigate your career paths successfully. This book is ideal for web developers, software engineers, and programming enthusiasts eager to expand their jаvascript skills into TypeScript. It is perfect for those aiming to enhance their web development prowess and employability in the tech industry.