Preface
GPT-3, or Generative Pre-trained Transformer 3, is a transformer-based large language model developed by OpenAI. It consists of a staggering 175 billion parameters. Anyone can access this large language model via the OpenAI API, a simple-to-use “text-in, text-out” user interface, without any technical prerequisites. This is the first time in history that an AI model as big as GPT-3 has been remotely hosted and made available to the general public with a simple API call. This new mode of access is called model-as-a-service. Because of this unprecedented access, many people, including the authors of this book, see GPT-3 as a first step towards democratizing artificial intelligence (AI).
With the introduction of GPT-3, it is easier than ever before to build AI applications. This book will show you how easy it is to get started with the OpenAI API. Also, we’ll introduce you to innovative ways to leverage this tool for your use case. We’ll look at successful startups built on top of GPT-3 and corporations leveraging it in their product landscape and examine problems and potential future trends in its development.
This book is dedicated to people from all backgrounds, not just technical professionals. It should be useful to you if you are:
- A data professional looking to gain skills in AI
- An entrepreneur who wants to build the next big thing in the AI space
- A corporate leader who wants to upgrade their AI knowledge and use it to drive key decisions
- A writer, podcaster, social media manager, or other language-based creator working with language who wants to leverage GPT-3’s language capabilities for creative purposes
- Anyone with an AI-based idea that once seemed technically impossible or too expensive to develop
The first part of the book covers the foundations of OpenAI API. In the book's second part, we explore the colorful ecosystem that has organically evolved around GPT-3.
Chapter 1 lays out the context and basic definitions needed to move comfortably in these subjects. In Chapter 2, we do a deep dive into the API, breaking it down into the most critical elements, such as engines and endpoints, describing their purpose and best practices for readers who wish to interact with them on a deeper level. Chapter 3 provides a simple and fun recipe for your first GPT-3 powered application.
Then, moving the focus to the exciting AI ecosystem, in Chapter 4, we interview founders of some of the most successful GPT-3 based products and apps about their struggles and experiences interacting with the model on a commercial scale. Chapter 5 looks at how enterprises view GPT-3 and its adoption potential. We discuss the problematic implications of wider GPT-3 adoption, such as misuse and bias, and progress in addressing those issues in Chapter 6. Finally, in Chapter 7, we look to the future, walking you through the most exciting trends and possibilities arising as GPT-3 settles into the broader commercial ecosystem.