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

Handling text generation and classification tasks

Text generation and text classification are two common categories of natural language processing tasks. Each of these categories covers a number of possible use cases that GPT-3 can handle quite well. Let's look at some of them, starting with text generation use cases.

Text generation

Of all the things GPT-3 can do, text generation is its superpower. There are a lot of potential use cases for generating text, so we'll break text generation down further into three sub-topics: generating text, summarizing text, and transforming text.

Generating text

GPT-3 can generate original text content that is usually indistinguishable from human-written text. This could be used for a variety of applications, from creating web content to brainstorming, conversational applications, poetry, songwriting, writing code, and creating data lists. Let's take a look at some examples.

Content creation

Content creation is one...