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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

What this book covers

Chapter 1, Introducing GPT-3 and the OpenAI API, is a high-level introduction to GPT-3 and the OpenAI API.

Chapter 2, GPT-3 Applications and Use Cases, is an overview of core GPT-3 use cases: text generation, classification, and semantic search.

Chapter 3, Working with the OpenAI Playground, is a semi-deep dive into the OpenAI Playground and the developer portal.

Chapter 4, Working with the OpenAI API, is an introduction to calling the OpenAI API using Postman.

Chapter 5, Calling the OpenAI API in Code, is an introduction to using the OpenAI API with both Node.js/JavaScript and Python.

Chapter 6, Content Filtering, explains how to implement content filtering.

Chapter 7, Generating and Transforming Text, contains code and prompt examples for generating and transforming text.

Chapter 8, Classifying and Categorizing Text, takes a closer look at text classification and the OpenAI API Classification endpoint.

Chapter 9, Building a GPT-3 Powered Question-Answering App, explains how to build a functional GPT-3 powered web knowledge base.

Chapter 10, Going Live with OpenAI-Powered Apps, explains the OpenAI application review and approval process and discusses getting ready for a review.

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