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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

Chapter 8: Classifying and Categorizing Text

In the last chapter, we looked at different ways to generate text. In this chapter, we'll discuss text classification and the OpenAI API classifications endpoint. We'll start with a quick overview of text classification and the classifications endpoint, and then we'll work through implementing sentiment analysis, assigning an ESRB rating to text, categorizing text by language, and classifying text from keywords, which are all common text classification examples.

The topics we will be covering in this chapter are as follows:

  • Understanding text classification
  • Introducing the classifications endpoint
  • Implementing sentiment analysis
  • Assigning an ESRB rating to text
  • Classifying text by language
  • Classifying text from keywords
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