
Título: The Complete Obsolete Guide to Generative AI (English Edition)
Autor: David Clinton
Sinopse: The last book on AI youll ever need. We swear! AI technology moves so fast that this book is probably already out of date! But dont worryThe Complete Obsolete Guide to Generative AI is still an essential read for anyone who wants to make generative AI into a tool rather than a toy. It shows you how to get the best out of AI no matter what changes come in the future. Youll be able to use common automation and scripting tools to take AI to a new level, and access raw (and powerful) GPT models via API. Inside The Complete Obsolete Guide to Generative AI you will find: Just enough background info on AI! What an AI model is how it works Ways to create text, code, and images for your organization's needs Training AI models on your local data stores or on the internet Business intelligence and analytics uses for AI Building your own custom AI models Looking ahead to the future of generative AI Where to get started? How about creating exciting images, video, and even audio with AI. Need more? Learn to harness AI to speed up any everyday work task, including writing boilerplate code, creating specialized documents, and analyzing your own data. Push beyond simple ChatGPT prompts! Discover ways to double your productivity and take on projects you never thought were possible! AIand this bookare here to show you how. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Everything you learn about Generative AI tools like Chat-GPT, Copilot, and Claude becomes obsolete almost immediately. So how do you decide where to spend your timeand your companys money? This entertaining and unbelievably practical book shows you what you can (and should!) do with AI now and how to roll with the changes as they happen. About the book The Complete Obsolete Guide to Generative AI is a lighthearted introduction to Generative AI written for technology professionals and motivated AI enthusiasts. In it, youll get a quick-paced survey of AI techniques for creating code, text, images, and presentations, working with data, and much more. As you explore the hands-on exercises, youll build an intuition for how Generative AI can transform your daily work and communicationand maybe even learn how to make peace with your new robot overlords. What's inside The big picture of Generative AI tools and tech Creating useful text, code, and images Writing effective prompts AI-driven data analytics About the reader Written for developers, admins, and other IT pros. Some examples use simple Python code. About the author David Clinton is an AWS Solutions Architect, a Linux server administrator and a world-renowned expert on obsolescence. The technical editor on this book was Maris Sekar. Table of Contents 1 Understanding generative AI basics 2 Managing generative AI 3 Creating text and code 4 Creating with media resources 5 Feeding data to your generative AI models 6 Prompt engineering: Optimizing your experience 7 Outperforming legacy research and learning tools 8 Understanding stuff better 9 Building and running your own large language model 10 How I learned to stop worrying and love the chaos 11 Experts weigh in on putting AI to work A Important definitions and a brief history B Generative AI resources C Installing Python
Contexto da obra
Quando a classificação é mais ampla, o contexto do livro costuma depender ainda mais de autoria, tema e edição. “The Complete Obsolete Guide to Generative AI (English Edition)”, de David Clinton, publicado pela editora Manning e em 2024, integra a categoria Livros Variados. Por isso, autoria, edição e tema acabam tendo ainda mais peso na forma de apresentar o livro.
Editora: Manning
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Ano: 2024
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Linguagem: português
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ISBN13:
Sobre a editora
Os livros da editora Manning apresentam uma experiência de leitura focada em tecnologia e programação, com ênfase em abordagens práticas e detalhadas. O catálogo traz obras que exploram desde frameworks específicos, como Spring e Grails, até paradigmas de programação como funcional e orientada a dados. Muitas obras combinam explicações conceituais com exemplos aplicados, facilitando a compreensão mesmo para leitores com conhecimentos variados, do iniciante ao avançado. O tom varia entre didático e técnico, com ritmo que privilegia a aplicação direta e o aprofundamento gradual. O material de apresentação indica uma preocupação em equilibrar teoria e prática, com textos que vão do tutorial ao estudo de casos reais.
