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Generative AI for Web Development

Building Web Applications Powered by OpenAI APIs and Next.js

Language EnglishEnglish
E-book Adobe ePub DRM
Publishers Apress, November 2024
Explore the world of Generative AI and understand why it matters. This book is divided into two part... Full description
? points 154 b
62.89 VAT included
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Explore the world of Generative AI and understand why it matters. This book is divided into two parts, introducing tools such as ChatGPT, DALL-E, and will show you how to use them to build AI-powered web apps.The first part of the book describes Generative AI and covers the essential models and APIs from OpenAI. Legal, ethical, and security considerations are discussed to help you decide whether it is an appropriate tool for your projects. You ll then review ChatGPT and see how to use it effectively for generating code. This is followed by a review of best practices, and tips and techniques for getting around the limitations of ChatGPT and other OpenAI APIs.The second part of the book provides practical guide to building a series of web apps with Next.js that showcase how to use the OpenAI APIs. For example, you ll learn how to build a Story/Poetry generator, a language learning app, and a blog site with a custom Chatbot widget. The code for the web apps is generated using ChatGPT.When done with this book, you ll have a clear understanding of Generative AI and be well on your way to building web applications powered by OpenAI APIs and Next.js.What You Will Learn Assess the legal, ethical, and security concerns with using Generative AI in web applications  Review the latest APIs provided by OpenAI for generating text and image Use ChatGPT to generate code for web projects, as well as tips and tricks to working around the limitations.Who This Book Is For?Experienced web developers and software engineers who know their way around HTML, CSS, and JavaScript, but have limited or no experience using Generative AI to build web applications. 

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About the book

Full name Generative AI for Web Development
Language English
Binding E-book - Adobe ePub DRM
Date of issue 2024
EAN 9798868808852
Libristo code 48030908
Publishers Apress
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