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

Assigning an ESRB rating to text

In the last example, we provided sample data to help with our classification task. But GPT-3 is pre-trained with a huge dataset, meaning it can perform a surprising number of classification tasks without providing any example data. Let's take a look at another example using the completions endpoint. In this example, we'll look at classifying text with an Entertainment Software Rating Board (ESRB) rating.

In this example, we will use the completions endpoint to assign an ESRB rating to text without any example data.

Node.js/JavaScript example

To create the ESRB rating classifier example in Node.js/JavaScript, follow these steps:

  1. Log in to replit.com and open your exploring-gpt3-node REPL.
  2. Create a new file – chapter08/esrb-rating-classifier.js.
  3. Add the following code to the beginning of the esrb-rating-classifier.js file:
    const axios = require('axios');
    const apiKey = process...