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The Complete Obsolete Guide To Generative Ai

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The Complete Obsolete Guide To Generative Ai

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Author : David Clinton
language : en
Publisher: Simon and Schuster
Release Date : 2024-08-27

The Complete Obsolete Guide To Generative Ai written by David Clinton and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-27 with Computers categories.

The Complete Obsolete Guide to Generative AI is a lighthearted look at programming with AI, as well as a rock-solid resource for getting the best out of these insanely powerful services. Let it be your guide to creating images and presentations, working with data feeds, prompt engineering, and much more.

Your Generative Ai Compass Abridged Edition

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Author : Nathan Nifco
language : en
Publisher: El Chif Book Publishing
Release Date : 2025-05-11

Your Generative Ai Compass Abridged Edition written by Nathan Nifco and has been published by El Chif Book Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-11 with Business & Economics categories.

Unlock the Power of Generative AI for Your Enterprise Transformation! In a world where technology is evolving at lightning speed, staying ahead means embracing Generative AI (Gen AI). Your Generative AI Compass: Strategic, Ethical, and Sustainable Adoption is your trusted guide, meticulously crafted by Nathan Nifco, to propel enterprise organizations into the future with confidence. Discover the Essential Takeaways: - Master the Language of Gen AI: Grasp its unique value and strategic importance, allowing you to make informed decisions that set your organization apart from the competition. - Structured Framework for Success: Integrate comprehensive strategic, sustainable, and ethical considerations into your Gen AI adoption roadmap, ensuring a balanced and mature implementation. - Execute with Precision: Gain practical guidance to assess your organization's readiness and effectively launch Gen AI initiatives, mitigating risks and maximizing potential. Navigating the New Era of AI This book provides a universal framework essential for understanding your enterprise's position in the rapidly changing technological landscape. Learn to evaluate where you stand today and how to chart a course for future success. With actionable insights, you’re not just keeping pace—you’re leading the charge in transforming your business strategies. Avoid Becoming Obsolete The greatest pain for any enterprise organization is falling behind competitors in productivity and innovation. Your Generative AI Compass serves as your essential roadmap, equipping you with the knowledge and strategies to implement Gen AI effectively while addressing ethical and societal risks. Don't let your enterprise become outdated—embrace Gen AI to thrive in a competitive landscape. Act Now to Harness Generative AI Now is the time to seize the opportunities that Gen AI presents. This comprehensive guide bridges the gap between the immense potential of Gen AI and its practical application in enterprise strategy. C-suite executives, IT professionals, and AI experts will find invaluable tools within these pages, enabling a balanced approach to strategy, sustainability, ethics, and compliance. Don't miss this opportunity—Get Your Copy Now! Click the "Buy Now" button today and take the first step toward empowering your enterprise with the tools and insights needed for impactful Gen AI adoption. The future of your organization is waiting—make sure you lead it!

Your Generative Ai Compass Essential Edition

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Author : Nathan Nifco
language : en
Publisher: El Chif Book Publishing
Release Date : 2025-05-11

Your Generative Ai Compass Essential Edition written by Nathan Nifco and has been published by El Chif Book Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-11 with Business & Economics categories.

How Large Language Models Work

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Author : Edward Raff
language : en
Publisher: Simon and Schuster
Release Date : 2025-08-05

How Large Language Models Work written by Edward Raff and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-05 with Computers categories.

Learn how large language models like GPT and Gemini work under the hood in plain English. How Large Language Models Work translates years of expert research on Large Language Models into a readable, focused introduction to working with these amazing systems. It explains clearly how LLMs function, introduces the optimization techniques to fine-tune them, and shows how to create pipelines and processes to ensure your AI applications are efficient and error-free. In How Large Language Models Work you will learn how to: • Test and evaluate LLMs • Use human feedback, supervised fine-tuning, and Retrieval Augmented Generation (RAG) • Reducing the risk of bad outputs, high-stakes errors, and automation bias • Human-computer interaction systems • Combine LLMs with traditional ML How Large Language Models Work is authored by top machine learning researchers at Booz Allen Hamilton, including researcher Stella Biderman, Director of AI/ML Research Drew Farris, and Director of Emerging AI Edward Raff. They lay out how LLM and GPT technology works in plain language that’s accessible and engaging for all. About the Technology Large Language Models put the “I” in “AI.” By connecting words, concepts, and patterns from billions of documents, LLMs are able to generate the human-like responses we’ve come to expect from tools like ChatGPT, Claude, and Deep-Seek. In this informative and entertaining book, the world’s best machine learning researchers from Booz Allen Hamilton explore foundational concepts of LLMs, their opportunities and limitations, and the best practices for incorporating AI into your organizations and applications. About the Book How Large Language Models Work takes you inside an LLM, showing step-by-step how a natural language prompt becomes a clear, readable text completion. Written in plain language, you’ll learn how LLMs are created, why they make errors, and how you can design reliable AI solutions. Along the way, you’ll learn how LLMs “think,” how to design LLM-powered applications like agents and Q&A systems, and how to navigate the ethical, legal, and security issues. What’s Inside • Customize LLMs for specific applications • Reduce the risk of bad outputs and bias • Dispel myths about LLMs • Go beyond language processing About the Readers No knowledge of ML or AI systems is required. About the Author Edward Raff, Drew Farris and Stella Biderman are the Director of Emerging AI, Director of AI/ML Research, and machine learning researcher at Booz Allen Hamilton. Table of Contents 1 Big picture: What are LLMs? 2 Tokenizers: How large language models see the world 3 Transformers: How inputs become outputs 4 How LLMs learn 5 How do we constrain the behavior of LLMs? 6 Beyond natural language processing 7 Misconceptions, limits, and eminent abilities of LLMs 8 Designing solutions with large language models 9 Ethics of building and using LLMs Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.

How Computers Make Books

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Author : John Whitington
language : en
Publisher: Simon and Schuster
Release Date : 2024-06-06

How Computers Make Books written by John Whitington and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-06 with Computers categories.

Learn about computer science by exploring the fascinating journey it took to make this book! How Computers Make Books introduces what’s wonderful about computer science by showing how computers have transformed the art of publishing books. Author and publishing software developer John Whitington reveals the elegant computer science solutions invented to solve big publishing challenges. In How Computers Make Books you’ll discover: How human descriptions are translated into computer programs How a computer can understand document formatting How a program decides where to print ink on a page Why computer science is so interesting to computer scientists, and why it might interest you …and much more! How do computers represent all the different languages and letters used by humans? How do we compress a book’s worth of complex information so it can be transferred in seconds? And what exactly is a computer program? This book answers all those questions by telling the story of how it was created! About the technology Computers are part of every step in creating a book, from capturing the author’s words as a digital document to controlling how the ink gets onto the paper. How Computers Make Books introduces basic computer science concepts like file formatting, transfer, and storage, computer programming, and task automation by guiding you through the modern digital printing process. About the book This book takes you on a journey from the plain white page, weaving through typesetting, making gray images from black ink, electronic file formats, and more. It makes computer science come alive as you see how every word, illustration, and page has its own story. You’ll even learn to write your own simple programs and discover hands-on what’s so intoxicating about computer science. What's inside How human descriptions are translated into computer programs How a digital computer thinks about print documents How a program decides where to print ink on a page How the history of typesetting shows up in modern books About the reader For the curious-but-clueless about computer science—and anyone interested in how computers make books! About the author John Whitington is the founder of a company that builds software for electronic document processing. He has studied and taught Computer Science at Queens’ College, Cambridge. Technical editor on this book was Bojan Stojanovic. Table of Contents 1 Putting marks on paper 2 Letter forms 3 Storing words 4 Looking and finding 5 Typing it in 6 Saving space 7 The sums behind the screen 8 Gray areas 9 A typeface 10 Words to paragraphs 11 Out into the world

Ai Powered Developer

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Author : Nathan Crocker
language : en
Publisher: Simon and Schuster
Release Date : 2024-10-01

Ai Powered Developer written by Nathan Crocker and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-01 with Computers categories.

Use groundbreaking generative AI tools to increase your productivity, efficiency, and code quality. AI coding tools like ChatGPT and GitHub Copilot are changing the way we write code and build software. AI-Powered Developer reveals the practical best practices you need to deliver reliable results with AI. It cuts through the hype, showcasing real-world examples of how these tools ease and enhance your everyday tasks, and make you more creative. In AI-Powered Developer you’ll discover how to get the most out of AI: • Harness AI to help you design and plan software • Use AI for code generation, debugging, and documentation • Improve your code quality assessments with the help of AI • Articulate complex problems to prompt an AI solution • Develop a continuous learning mindset that keeps you up to date • Adapt your development skills to almost any language AI coding tools give you a smart and reliable junior developer that’s fast and keen to help out with your every task and query. AI-Powered Developer helps you put your new assistant to work. You’ll learn to use AI for everything from writing boilerplate, to testing and quality assessment, managing infrastructure, delivering security, and even assisting with software design. About the technology Using AI tools like Copilot and ChatGPT is like hiring a super-smart and super-fast junior developer eager to take on anything from research to refactoring. Coding with AI can help you work faster, write better applications, and maybe do things that aren’t even possible with your current team. This book will show you how. About the book AI-Powered Developer: Build software with ChatGPT and Copilot teaches you in concrete detail how to maximize the impact of AI coding tools in real-world software development. In it, you’ll walk through a complete application, introducing AI into every step of the workflow. You’ll use ChatGPT and Copilot to generate code and ideas, make predictive suggestions, and develop a self-documenting application. You’ll also learn how AI can help test and explain your code. What's inside • Use AI to design and plan software • Code generation, debugging, and documentation • Improve code quality assessments • Work with unfamiliar programming languages About the reader For intermediate software developers. No AI experience necessary. About the author Nathan B. Crocker is Cofounder and CTO at Checker Corp. The technical editor on this book was Nicolai Nielsen. Table of Contents PART 1 1 Understanding large language models 2 Getting started with large language models PART 2 3 Designing software with ChatGPT 4 Building software with GitHub Copilot 5 Managing data with GitHub Copilot and Copilot Chat PART 3 6 Testing, assessing, and explaining with large language models PART 4 7 Coding infrastructure and managing deployments 8 Secure application development with ChatGPT 9 GPT-ing on the go A Setting up ChatGPT B Setting up GitHub Copilot C Setting up AWS CodeWhisperer

Ai

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Author : 데이비드 클린턴
language : ko
Publisher: 다이피아
Release Date : 2024-03-15

Ai written by 데이비드 클린턴 and has been published by 다이피아 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-15 with Computers categories.

AI 기술은 너무 빠르게 발전하여 이 책을 보게 될 때면 이미 구식이 되었을지도 모릅니다! 하지만 걱정하지 마세요. 제너레이티브 AI를 장난감이 아닌 효과적인 도구로 만들고자 하는 사람이라면 이 책을 꼭 읽어야 합니다. 이 책은 앞으로 어떤 변화가 오더라도 AI를 최대한 활용할 수 있는 방법을 알려줍니다. 일반적인 자동화 및 스크립팅 도구를 사용하여 AI를 새로운 차원으로 끌어올리고, API를 통해 원시(그리고 강력한) GPT 모델에 액세스할 수 있습니다. 또 무엇이 있을까요? AI로 흥미로운 이미지, 비디오, 오디오까지 제작해 보세요. 더 필요하신가요? 상용구 코드 작성, 전문 문서 작성, 자체 데이터 분석 등 일상적인 업무의 속도를 높이기 위해 AI를 활용하는 방법을 알아보세요. 단순한 ChatGPT 프롬프트를 넘어서세요! 생산성을 두 배로 높이고 불가능하다고 생각했던 프로젝트를 수행할 수 있는 방법을 알아보세요! AI와 이 책이 그 방법을 알려드립니다.

Linux In Action

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Author : David Clinton
language : en
Publisher: Simon and Schuster
Release Date : 2018-08-19

Linux In Action written by David Clinton and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-19 with Computers categories.

Summary Linux in Action is a task-based tutorial that will give you the skills and deep understanding you need to administer a Linux-based system. This hands-on book guides you through 12 real-world projects so you can practice as you learn. Each chapter ends with a review of best practices, new terms, and exercises. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology You can't learn anything without getting your hands dirtyÃ¢â‚¬â€ including Linux. Skills like securing files, folders, and servers, safely installing patches and applications, and managing a network are required for any serious user, including developers, administrators, and DevOps professionals. With this hands-on tutorial, you'll roll up your sleeves and learn Linux project by project. About the Book Linux in Action guides you through 12 real-world projects, including automating a backup-and-restore system, setting up a private Dropbox-style file cloud, and building your own MediaWiki server. You'll try out interesting examples as you lock in core practices like virtualization, disaster recovery, security, backup, DevOps, and system troubleshooting. Each chapter ends with a review of best practices, new terms, and exercises. What's inside Setting up a safe Linux environment Managing secure remote connectivity Building a system recovery device Patching and upgrading your system About the Reader No prior Linux admin experience is required. About the Author David Clinton is a certified Linux Server Professional, seasoned instructor, and author of Manning's bestselling Learn Amazon Web Services in a Month of Lunches. Table of Contents Welcome to Linux Linux virtualization: Building a Linux working environment Remote connectivity: Safely accessing networked machines Archive management: Backing up or copying entire file systems Automated administration: Configuring automated offsite backups Emergency tools: Building a system recovery device Web servers: Building a MediaWiki server Networked file sharing: Building a Nextcloud file-sharing server Securing your web server Securing network connections: Creating a VPN or DMZ System monitoring: Working with log files Sharing data over a private network Troubleshooting system performance issues Troubleshooting network issues Troubleshooting peripheral devices DevOps tools: Deploying a scripted server environment using Ansible

Humans Need Not Apply

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Author : Jerry Kaplan
language : en
Publisher: Yale University Press
Release Date : 2015-08-04

Humans Need Not Apply written by Jerry Kaplan and has been published by Yale University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-04 with Technology & Engineering categories.

An “intriguing, insightful” look at how algorithms and robots could lead to social unrest—and how to avoid it (The Economist, Books of the Year). After decades of effort, researchers are finally cracking the code on artificial intelligence. Society stands on the cusp of unprecedented change, driven by advances in robotics, machine learning, and perception powering systems that rival or exceed human capabilities. Driverless cars, robotic helpers, and intelligent agents that promote our interests have the potential to usher in a new age of affluence and leisure—but as AI expert and Silicon Valley entrepreneur Jerry Kaplan warns, the transition may be protracted and brutal unless we address the two great scourges of the modern developed world: volatile labor markets and income inequality. In Humans Need Not Apply, he proposes innovative, free-market adjustments to our economic system and social policies to avoid an extended period of social turmoil. His timely and accessible analysis of the promises and perils of AI is a must-read for business leaders and policy makers on both sides of the aisle. “A reminder that AI systems don’t need red laser eyes to be dangerous.”—Times Higher Education Supplement “Kaplan…sidesteps the usual arguments of techno-optimism and dystopia, preferring to go for pragmatic solutions to a shrinking pool of jobs.”—Financial Times

Generative Art

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Author : Matt Pearson
language : en
Publisher: Simon and Schuster
Release Date : 2011-06-29

Generative Art written by Matt Pearson and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-29 with Computers categories.

Summary Generative Art presents both the technique and the beauty of algorithmic art. The book includes high-quality examples of generative art, along with the specific programmatic steps author and artist Matt Pearson followed to create each unique piece using the Processing programming language. About the Technology Artists have always explored new media, and computer-based artists are no exception. Generative art, a technique where the artist creates print or onscreen images by using computer algorithms, finds the artistic intersection of programming, computer graphics, and individual expression. The book includes a tutorial on Processing, an open source programming language and environment for people who want to create images, animations, and interactions. About the Book Generative Art presents both the techniques and the beauty of algorithmic art. In it, you'll find dozens of high-quality examples of generative art, along with the specific steps the author followed to create each unique piece using the Processing programming language. The book includes concise tutorials for each of the technical components required to create the book's images, and it offers countless suggestions for how you can combine and reuse the various techniques to create your own works. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside The principles of algorithmic art A Processing language tutorial Using organic, pseudo-random, emergent, and fractal processes ================================================= Table of Contents Part 1 Creative Coding Generative Art: In Theory and Practice Processing: A Programming Language for ArtistsPart 2 Randomness and Noise The Wrong Way to Draw A Line The Wrong Way to Draw a Circle Adding Dimensions Part 3 Complexity Emergence Autonomy Fractals

The Complete Obsolete Guide To Generative Ai

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