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

Creating the GPT Answers user interface

Now let's create a simple web form interface that will let users submit a question to get an answer from our API. We'll start by adding UIkit – a popular lightweight frontend framework that you can learn more about at https://getuikit.com/. We'll also use Axios to make HTTP calls to the app API using a bit of JavaScript.

UIkit will make it easy to create a simple but clean and modern look for our app. You can download UIkit for free from https://getuikit.com. Or you can use a hosted version that is available from https://jsdeliver.com, a free Content Delivery Network (CDN) for open source projects, and that's what we'll be using.

To add UIkit, do the following:

  1. Open the public/index.html file.
  2. Replace the URL for the style sheet with https://cdn.jsdelivr.net/npm/[email protected]/dist/css/uikit.min.css.
  3. Replace everything between the <body> tag and the </body> tag with the following...