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 files with the Answers endpoint

To use documents from a file, the first thing we'll need to do is get the file uploaded to OpenAI so it can be used by the Answers endpoint. The process involves creating a file containing our documents, then using the files endpoint to upload the file and get a file ID that can be used when we make requests to the Answers endpoint. To create and upload the answer file, complete the following steps:

  1. Create a new jsonl file named answers.jsonl and some answers for the file in the following format:
    {"text": "I am a day younger than I will be tomorrow"}
    {"text": "I like to code in Python."}
    {"text": "My favorite food is carrot cake."}
  2. Create another new file named files-upload.js.
  3. Add the following code in file-upload.js:
  4. Require a few modules that will be used:
    const fs = require('fs');
    const axios = ...