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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

Filtering content with Python

Now let's see how to implement content filtering with Python. Unless you skipped over Filtering content with JavaScript, you can probably guess how we're going to get started with a Python content filtering example – we're going to use a code snippet generated by Postman:

  1. So, start by opening the code snippet pane in Postman. Then, click the code button in the right-hand menu. The code button is where the arrow in the following screenshot is pointing:

    Figure 6.10 – Code button to open the code pane

  2. After clicking the code button, the code snippet pane will open. Change the code snippet type to Python – Requests by selecting it from the drop-down list. Then, click the copy button shown in the following screenshot. This will copy the code snippet to your clipboard:

    Figure 6.11 – Postman code snippet for Python – requests

  3. After copying the code snippet to the clipboard, perform the following...
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