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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

Using the Completions endpoint

When you're working with the OpenAI API, most of what you'll be doing will probably involve using the Completions endpoint. This is the endpoint you send prompts to. In addition to submitting your prompt, you can also include values to influence how the completion is generated, like the setting in the Playground.

Using the Completions endpoint is a little more involved than using the List Engines endpoint that we looked at in the last section, Introducing JSON. This is because the Completions endpoint uses the HTTP POST method and requires a JSON object as the body. Technically, the JSON body could just be an empty object (just a left and right curly brace, like {}), but minimally, you'll want to include at least the prompt element with the value set to your prompt string, something like the following JSON example:

{"prompt": "Once upon a time"}

The preceding example is a simple one but here's how we&apos...

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