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GPT-3

You're reading from  GPT-3

Product type Book
Published in Feb 2023
Publisher Packt
ISBN-13 9781805125228
Pages 150 pages
Edition 1st Edition
Languages
Authors (2):
Sandra Kublik Sandra Kublik
Profile icon Sandra Kublik
Shubham Saboo Shubham Saboo
Profile icon Shubham Saboo
View More author details

Table of Contents (12) Chapters

Preface
1. Contents
2. Chapter 1: The Large Language Model Revolution
3. Chapter 2. Getting Started with OpenAI API
4. Chapter 3: GPT-3 and Programming
5. Chapter 4: GPT-3 as Enabler for Next-Gen Startups
6. Chapter 5: GPT-3 as the Next Step in Corporate Innovation
7. Chapter 6: GPT-3: The Good, the Bad, and the Ugly
8. Conclusion: Democratizing Access to AI
9. Acknowledgements
10. About The Author
11. About The Author
Chapter 3: GPT-3 and Programming
Almost all of GPT-3’s NLP capabilities are created in the Python programming language. But to enable wider accessibility, the API comes with pre-built support for all the major programming languages, so users can build GPT-3 powered applications using the programming language of their choice.
In this section, we will illustrate how this works by replicating an example with different programming languages.
Just a heads-up: In each language-specific chapter, we assume you have a basic understanding of the programming language being discussed. If you don’t, you can safely skip the section.
How to use OpenAI API with Python?
Python is the most popular language for data science and machine learning tasks. Compared to conventional data-science programming languages like R and Stata, Python shines because it’s scalable and integrates well with databases. It is widely used and has a flourishing community of developers keeping its ecosystem...
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