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

Classifying text by language

Now, let's consider an example. Suppose we needed to route support messages based on the language the message was written in – for a multinational support center. In this case, we could use GPT-3 to classify messages by language, such as English, French, Hindi, Spanish, and Russian. Let's see how we'd go about doing that.

In this example, we will classify support messages by language using the classifications endpoint and examples for each language.

Node.js/JavaScript example

To create the email 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/language-classifier.js.
  3. Add the following code to the beginning of the language-classifier.js file:
    const axios = require('axios');
    const apiKey = process.env.OPENAI_API_KEY;
    const client = axios.create({
      headers...