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Exploring GPT-3

You're reading from Exploring GPT-3 An unofficial first look at the general-purpose language processing API from OpenAI

Product type Paperback

Published in Aug 2021

Publisher Packt

ISBN-13 9781800563193

Length 296 pages

Edition 1st Edition

Languages

Python

Tools

OpenAI Gym

Concepts

Machine Learning

Author (1):

Steve Tingiris

View More author details

Table of Contents (15) Chapters

Preface

1. Section 1: Understanding GPT-3 and the OpenAI API

2. Chapter 1: Introducing GPT-3 and the OpenAI API FREE CHAPTER

3. Chapter 2: GPT-3 Applications and Use Cases

4. Section 2: Getting Started with GPT-3

5. Chapter 3: Working with the OpenAI Playground

6. Chapter 4: Working with the OpenAI API

7. Chapter 5: Calling the OpenAI API in Code

8. Section 3: Using the OpenAI API

9. Chapter 6: Content Filtering

10. Chapter 7: Generating and Transforming Text

11. Chapter 8: Classifying and Categorizing Text

12. Chapter 9: Building a GPT-3-Powered Question-Answering App

13. Chapter 10: Going Live with OpenAI-Powered Apps

14. Other Books You May Enjoy

Introducing GPT Answers

In this section, we're going to be building a GPT-3-powered web app that lets users ask any questions and get back answers from a knowledge base of data that we'll provide. We will call the app GPT Answers. Yes, the name is underwhelming, but we can always use GPT-3 to help us brainstorm a better name later.

The following is a screenshot of what the app will look like when it's completed. Sure, the user interface might be as underwhelming as the name, but the power behind it is sure to impress!

Figure 9.1 – GPT Answers user interface

Now let's get into what's behind the UI and how the app will be built.

GPT Answers technical overview

GPT Answers will be built using Node.js, JavaScript, and HTML. We'll also be using a web framework called Express, to simplify the development.

Important note

This app could also be built using Python but for this chapter, unlike the previous chapters...

The rest of the chapter is locked

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Authors (1)

Tingiris

Tingiris

Steve Tingiris is the founder and managing director of Dabble Lab, a technology research and services company that helps businesses accelerate learning and adoption of natural language processing, conversational AI, and other emerging technologies. He has been designing and building automation solutions for over 20 years and has consulted on conversational AI projects for companies including Amazon, Google, and Twilio. He also publishes technical tutorials on Dabble Lab's YouTube channel— one of the most popular educational resources for conversational AI developers—and manages several open-source projects, including the Autopilot CLI, Twilio's recommended tool for building Autopilot bots. To connect with Steve, you can find him on GitHub tingiris or on Twitter tingiris.

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