Book Image

Exploring GPT-3

By : Steve Tingiris
Book Image

Exploring GPT-3

By: Steve Tingiris

Overview of this book

Generative Pre-trained Transformer 3 (GPT-3) is a highly advanced language model from OpenAI that can generate written text that is virtually indistinguishable from text written by humans. Whether you have a technical or non-technical background, this book will help you understand and start working with GPT-3 and the OpenAI API. If you want to get hands-on with leveraging artificial intelligence for natural language processing (NLP) tasks, this easy-to-follow book will help you get started. Beginning with a high-level introduction to NLP and GPT-3, the book takes you through practical examples that show how to leverage the OpenAI API and GPT-3 for text generation, classification, and semantic search. You'll explore the capabilities of the OpenAI API and GPT-3 and find out which NLP use cases GPT-3 is best suited for. You’ll also learn how to use the API and optimize requests for the best possible results. With examples focusing on the OpenAI Playground and easy-to-follow JavaScript and Python code samples, the book illustrates the possible applications of GPT-3 in production. By the end of this book, you'll understand the best use cases for GPT-3 and how to integrate the OpenAI API in your applications for a wide array of NLP tasks.
Table of Contents (15 chapters)
1
Section 1: Understanding GPT-3 and the OpenAI API
4
Section 2: Getting Started with GPT-3
8
Section 3: Using the OpenAI API

Chapter 5: Calling the OpenAI API in Code

In the previous chapter, we looked at calling the OpenAI API using Postman. In this chapter, you'll learn how to start using the API in code. Since the OpenAI API can be used with virtually any programming language, we'll take a look at two popular languages, JavaScript and Python. If you're not a programmer, no problem. We'll be using an online environment that makes getting started with code super simple. Plus, easy-to-follow code examples are provided in both JavaScript and Python so you can choose the language that is most comfortable for you. Also, for clarity, the examples are purposely written with as little code as possible. So, the examples may not always follow coding best practices, but the goal is to make following along easy!

The topics we'll cover in this chapter are as follows:

  • Choosing your programming language
  • Introducing replit.com
  • Using the OpenAI API with Node.js/JavaScript
  • ...