Название: What We Learned from a Year of Building with LLMs: Developing Real-World Products with LLMs Автор: Eugene Yan, Bryan Bischof, Charles Frye, Hamel Husain, Jason Liu Издательство: O’Reilly Media, Inc. Год: 2024-07-12 Страниц: 90 Язык: английский Формат: pdf, azw3, epub, mobi Размер: 10.1 MB
Ready to build real-world applications with large language models? With the pace of improvements over the past year, LLMs have become good enough for use in real-world applications. LLMs are also broadly accessible, allowing practitioners besides ML engineers and scientists to build intelligence into their products. In this report, six experts in Artificial Intelligence (AI) and Machine Learning present crucial, yet often neglected, ML lessons and methodologies essential for developing products based on LLMs. Awareness of these concepts can give you a competitive advantage against most others in the field. Our goal is to make this a practical guide to building successful products around LLMs, drawing from our own experiences and pointing to examples from around the industry. We’ve spent the past year getting our hands dirty and gaining valuable lessons, often the hard way. While we don’t claim to speak for the entire industry, here we share some advice and lessons for anyone building products with LLMs. This work is organized into three topic areas: tactical, operational, and strategic. The first chapter dives into the tactical nuts and bolts of working with LLMs. We share best practices and common pitfalls around prompting, setting up retrieval-augmented generation, applying flow engineering, and evaluation and monitoring. Whether you’re a practitioner building with LLMs or a hacker working on weekend projects, this first chapter was written for you.
Название: Learning Systems Thinking: Essential Nonlinear Skills and Practices for Software Professionals Автор: Diana Montalion Издательство: O’Reilly Media, Inc. Год: 2024 Страниц: 307 Язык: английский Формат: epub Размер: 10.1 MB
A decade ago, developers built information-sharing software by writing a lot of custom code in a single code base, then adding layers of caching. Now we build information systems: interdependent software and services, data platforms, and event streams. Many of our software-to-systems initiatives fail, though, and when they do, we double down on traditional linear approaches. But linear thinking cannot resolve systems challenges. We need to shift to systems thinking. This book shows software developers and architects how systems thinking can guide you through the emerging complexity of modern systems. Author Diana Montalion presents a vision of technology architecture that transforms how we learn, communicate, and collaborate with others. Through practical examples and scenarios, you'll learn how to develop critical self-reflection and decision-making skills amid complexity and uncertainty—and lead impactful cultural change within your organization. Systems thinking is a practice that improves your effectiveness and enables you to lead impactful change. Through a series of practices and real-world scenarios, you'll learn to shift your perspective in order to design, develop, and deliver better outcomes.
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: 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: 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: 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: Программирование для непрограммистов в изложении на человеческом языке Автор: Антти Салонен Издательство: аст Год: 2024 Формат: PDF Страниц: 482 Размер: 103 Mb Язык: Русский
Хотите научиться программированию, не имея специальных знаний? Эта книга простым человеческим языком расскажет о программном обеспечении и технологиях достаточно, чтобы даже «нетехнарь» смог самостоятельно освоить это непростое дело. Получится ли это у вас? Даже не сомневайтесь, ведь на страницах данного издания изложены основы нескольких важнейших языков программирования, рассматриваются базовые подходы, которыми пользуются профессиональные программисты, дается множество советов с реальными примерами из практики разработчиков программного обеспечения, закладывающих надежный фундамент, необходимый для написания и запуска программ.
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.
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Название: Hybrid Information Systems: Non-Linear Optimization Strategies with Artificial Intelligence
