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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

Exploring the OpenAI developer console

The Playground is part of the OpenAI developer console. The developer console is a private web-based portal that provides developer resources and tools – the Playground being one of them. To access the developer console, you'll need a valid OpenAI developer account. While this chapter will largely focus on the Playground and, more specifically, the Playground settings, it's worth taking a minute to review some of the other resources available in the OpenAI developer console, starting with the developer documentation.

Developer documentation

When you're working with new technologies, good documentation is very often not available. Fortunately, that's not the case with GPT-3. The OpenAI documentation is extremely well done. It's complete, easy to follow, and provides a number of very useful examples. We looked at one of those examples – a classification prompt example – in Chapter 1, Introducing...

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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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