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Exploring GPT-3
Exploring GPT-3

Exploring GPT-3: An unofficial first look at the general-purpose language processing API from OpenAI

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Key benefits

  • Understand the power of potential GPT-3 language models and the risks involved
  • Explore core GPT-3 use cases such as text generation, classification, and semantic search using engaging examples
  • Plan and prepare a GPT-3 application for the OpenAI review process required for publishing a live application

Description

Generative Pre-trained Transformer 3 (GPT-3) is a highly advanced language model from OpenAI that can generate written text that is virtually indistinguishable from text written by humans. Whether you have a technical or non-technical background, this book will help you understand and start working with GPT-3 and the OpenAI API. If you want to get hands-on with leveraging artificial intelligence for natural language processing (NLP) tasks, this easy-to-follow book will help you get started. Beginning with a high-level introduction to NLP and GPT-3, the book takes you through practical examples that show how to leverage the OpenAI API and GPT-3 for text generation, classification, and semantic search. You'll explore the capabilities of the OpenAI API and GPT-3 and find out which NLP use cases GPT-3 is best suited for. You’ll also learn how to use the API and optimize requests for the best possible results. With examples focusing on the OpenAI Playground and easy-to-follow JavaScript and Python code samples, the book illustrates the possible applications of GPT-3 in production. By the end of this book, you'll understand the best use cases for GPT-3 and how to integrate the OpenAI API in your applications for a wide array of NLP tasks.

Who is this book for?

Exploring GPT-3 is for anyone interested in natural language processing or learning GPT-3 with or without a technical background. Developers, product managers, entrepreneurs, and hobbyists looking to get to grips with NLP, AI, and GPT-3 will find this book useful. Basic computer skills are all you need to get the most out of this book.

What you will learn

  • Understand what GPT-3 is and how it can be used for various NLP tasks
  • Get a high-level introduction to GPT-3 and the OpenAI API
  • Implement JavaScript and Python code examples that call the OpenAI API
  • Structure GPT-3 prompts and options to get the best possible results
  • Select the right GPT-3 engine or model to optimize for speed and cost-efficiency
  • Find out which use cases would not be suitable for GPT-3
  • Create a GPT-3-powered knowledge base application that follows OpenAI guidelines

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 27, 2021
Length: 4hrs 56mins
Edition : 1st
Language : English
ISBN-13 : 9781805127833
Category :
Languages :
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Product Details

Publication date : Aug 27, 2021
Length: 4hrs 56mins
Edition : 1st
Language : English
ISBN-13 : 9781805127833
Category :
Languages :
Tools :

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Table of Contents

14 Chapters
Section 1: Understanding GPT-3 and the OpenAI API Chevron down icon Chevron up icon
Chapter 1: Introducing GPT-3 and the OpenAI API Chevron down icon Chevron up icon
Chapter 2: GPT-3 Applications and Use Cases Chevron down icon Chevron up icon
Section 2: Getting Started with GPT-3 Chevron down icon Chevron up icon
Chapter 3: Working with the OpenAI Playground Chevron down icon Chevron up icon
Chapter 4: Working with the OpenAI API Chevron down icon Chevron up icon
Chapter 5: Calling the OpenAI API in Code Chevron down icon Chevron up icon
Section 3: Using the OpenAI API Chevron down icon Chevron up icon
Chapter 6: Content Filtering Chevron down icon Chevron up icon
Chapter 7: Generating and Transforming Text Chevron down icon Chevron up icon
Chapter 8: Classifying and Categorizing Text Chevron down icon Chevron up icon
Chapter 9: Building a GPT-3-Powered Question-Answering App Chevron down icon Chevron up icon
Chapter 10: Going Live with OpenAI-Powered Apps Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3
(16 Ratings)
5 star 56.3%
4 star 25%
3 star 6.3%
2 star 12.5%
1 star 0%
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Top Reviews

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James Mar 25, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Thought this was well laid out and well written. Outdated? Of course, there will be changes for example to the pricing of GTP-3, but these are small points. I thought the writers did a great job of explaining a complex topic - loved it
Amazon Verified review Amazon
Melanie Sep 19, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I'm a content designer/UX writer, not a developer. So when I heard about GPT-3, I was very intrigued about what this might mean for the future of my profession.I wanted to try to build an app using GPT-3 to generate content, but I didn't know enough about code to even get started. Learning code was incredibly slow going. I wondered, was there a quick and easy way to get a GPT-3 web app up and running?This book was exactly what I needed. It takes you step by step through the process of using GPT-3's API to make queries, and shows you how to make a basic web front end. I learned a lot about Node.js while building, too. If you're a developer, you'll probably find this book too basic. But for my purposes, it was perfect.Love this book! Thanks Steve.
Amazon Verified review Amazon
marc waesche Jul 24, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
A really very good structured document about the technical background and the usage of GPT-3! Unfortunatelly the very first review here (at least for me) was rather negative pointing to the fact that all informations in this book can also be found on the openAI website OR with a Google search. Of course! Show me a technical book which contains secrets you can not find anywhere in the internet! A technical book helps the owner to find things fast. That's it!
Amazon Verified review Amazon
Matthew Emerick Aug 27, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
About This BookThis book looks into how GPT-3 and how to interact with it. Examples are given in both Python and Javascript, though you don’t need any more than the given code to work the examples. There are a large number of examples included and a lot of advice on how to get the most out of one of the largest NLP models that exists.Who Is This For?The main audience for this book is anyone who wants to use GPT-3 in their software or website. One of the best parts of the book is that you don’t need to be technically inclined to any of the examples. But if you are a software developer, you can do a lot with GPT-3.OrganizationThere are three sections: introduction, getting started, and digging into the API. The book starts with everything you need to prepare for the remainder of the rest of the book. The final chapter details considerations if you intend to put your GPT-3 work into production. All in all, the layout is solid. Each chapter is kept simple, starting with the technical requirements and ending with a summary.Did This Book Succeed?This book really is everything included in this book, as the GPT-3 API is simple. By reading this book, you’ll know everything you’ll need to implement GPT-3 in nearly any way you choose. I can’t think of anything that is missing or and superfluous material.Rating and Final ThoughtsOverall, I give this book a 4.5 out of 5.Technically, GPT-3 is simple enough for a series of blog entries, so I have to question the need for this book. However, the author did an excellent job in keeping everything to the point and making sure you knew how much your inquiries are going to cost you. It’s well written with both fun and serious examples to show you the power and the drawbacks of GPT-3.
Amazon Verified review Amazon
Sam doGooder Aug 27, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is an excellent introduction to the transformative GPT-3 conversational AI platform - essentially allowing someone with zero to little technical knowledge to be able to navigate use-cases like chatbots and AI-based text comprehension. The book is split into three parts, with the first two talking about the basics of the technology (what is API, how to use it, Curl/Postman etc.), and how to get started with the OpenAI public beta. In addition, there is a choice of languages with most examples available in both Javascript & Python - so you can use whatever works for you. The 3rd section will be something that advanced users might want to start with straightaway - with immediate use-cases being highlighted with full code availability. Essentially, for a book that works almost entirely on an API - there is a tremendous amount of content which would be useful for anyone who is even tangentially interested in exploring where AI in text is going. Highly recommended
Amazon Verified review Amazon
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