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

Using other programming languages

In this chapter, we just looked at code examples using JavaScript and Python. But again, virtually any modern programming language could have been used. The OpenAI API is a standards-based HTTP API, so all you need is a language that can make HTTP requests and work with JSON, which, again, is virtually all modern programming languages.

Also, for the examples in this chapter, we called the API directly using general HTTP libraries. We could have also used a library specifically built for the OpenAI API. Multiple libraries exist for both JavaScript, Python, and a number of other languages, including C#/.NET, Go, Java, and Unity, to name a few. You can find a list of community-maintained libraries at https://beta.openai.com/docs/developer-quickstart/community-libraries.

Libraries can simplify working with the OpenAI API. However, it's helpful to understand how to call the endpoints directly, and the API is quite simple to use. For those reasons...