Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Exploring GPT-3

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

Arrow left icon
Product type Paperback
Published in Aug 2021
Publisher Packt
ISBN-13 9781800563193
Length 296 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Steve Tingiris Steve Tingiris
Author Profile Icon Steve Tingiris
Steve Tingiris
Arrow right icon
View More author details
Toc

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

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Python Natural Language Processing Cookbook

Zhenya Antić

978-1-83898-731-2

  • Become well-versed with basic and advanced NLP techniques in Python
  • Represent grammatical information in text using spaCy, and semantic information using bag-of-words, TF-IDF, and word embeddings
  • Perform text classification using different methods, including SVMs and LSTMs
  • Explore different techniques for topic modeling such as K-means, LDA, NMF, and BERT
  • Work with visualization techniques such as NER and word clouds for different NLP tools
  • Build a basic chatbot using NLTK and Rasa
  • Extract information from text using regular expression techniques and statistical and deep learning tools

Getting Started with Google BERT

Sudharsan Ravichandiran

ISBN: 978-1-83882-159-3

  • Understand the transformer model from the ground up
  • Find out...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime