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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

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Product type Paperback
Published in Aug 2021
Publisher Packt
ISBN-13 9781800563193
Length 296 pages
Edition 1st Edition
Languages
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Author (1):
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Steve Tingiris Steve Tingiris
Author Profile Icon Steve Tingiris
Steve Tingiris
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Table of Contents (15) Chapters Close

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

Using the OpenAI API in Python

Python is another popular programming language, and it is especially popular among the machine learning community. It's a robust language but it's also very beginner-friendly. If you are coding for the first time, Python will probably be one of the easier languages to get started with. Like with JavaScript/Node, Python is open source and can be used on Linux, macOS, or Windows. It is also included with many operating systems, including macOS and most Linux distributions. But since we'll be working in replit, we don't need to worry about Python being installed on our local machine. That said, nothing in the code we'll be writing depends on anything that is specific to replit. So, everything we'll be doing could be done on any computer that is properly configured for doing Python development.

For our first example, we'll look at using Python to call the OpenAI Engines endpoint.

Calling the engines endpoint

We...

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