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Exploring GPT-3

Exploring GPT-3

By : Tingiris
4.3 (16)
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Exploring GPT-3

Exploring GPT-3

4.3 (16)
By: 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)
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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

Introducing GPT Answers

In this section, we're going to be building a GPT-3-powered web app that lets users ask any questions and get back answers from a knowledge base of data that we'll provide. We will call the app GPT Answers. Yes, the name is underwhelming, but we can always use GPT-3 to help us brainstorm a better name later.

The following is a screenshot of what the app will look like when it's completed. Sure, the user interface might be as underwhelming as the name, but the power behind it is sure to impress!

Figure 9.1 – GPT Answers user interface

Now let's get into what's behind the UI and how the app will be built.

GPT Answers technical overview

GPT Answers will be built using Node.js, JavaScript, and HTML. We'll also be using a web framework called Express, to simplify the development.

Important note

This app could also be built using Python but for this chapter, unlike the previous chapters...

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