Exploring GPT-3: An unofficial first look at the general-purpose language processing API from OpenAI

Get started with GPT-3 and the OpenAI API for natural language processing using JavaScript and Python

Key Features

• Understand the power of potential GPT-3 language models and the risks involved
• Explore core GPT-3 use cases such as text generation, classification, and semantic search using engaging examples
• Plan and prepare a GPT-3 application for the OpenAI review process required for publishing a live application

Book Description

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.

What you will learn

• Understand what GPT-3 is and how it can be used for various NLP tasks
• Get a high-level introduction to GPT-3 and the OpenAI API
• Implement JavaScript and Python code examples that call the OpenAI API
• Structure GPT-3 prompts and options to get the best possible results
• Select the right GPT-3 engine or model to optimize for speed and cost-efficiency
• Find out which use cases would not be suitable for GPT-3
• Create a GPT-3-powered knowledge base application that follows OpenAI guidelines

Who this book is for

Exploring GPT-3 is for anyone interested in natural language processing or learning GPT-3 with or without a technical background. Developers, product managers, entrepreneurs, and hobbyists looking to get to grips with NLP, AI, and GPT-3 will find this book useful. Basic computer skills are all you need to get the most out of this book.

Table of Contents

1. Introducing GPT-3 and the OpenAI API
2. GPT-3 Applications and Use Cases
3. Working with the OpenAI Playground
4. Working with the OpenAI API
5. Calling the OpenAI API in Code
6. Content Filtering
7. Generating and Transforming Text
8. Classifying and Categorizing Text
9. Building a GPT-3 Powered Question-Answering App
10. Going Live with OpenAI-Powered Apps

Steve Tingiris is the founder and managing director of Dabble Lab, a technology research and services company that helps businesses accelerate learning and adoption of natural language processing, conversational AI, and other emerging technologies. He has been designing and building automation solutions for over 20 years and has consulted on conversational AI projects for companies including Amazon, Google, and Twilio. He also publishes technical tutorials on Dabble Lab’s YouTube channel― one of the most popular educational resources for conversational AI developers―and manages several open-source projects, including the Autopilot CLI, Twilio’s recommended tool for building Autopilot bots. To connect with Steve, you can find him on GitHub tingiris or on Twitter tingiris.