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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

Preventing inappropriate and offensive results

GPT-3 will, at times, generate text that could be considered inappropriate to some users. This could be profanity, text with inappropriate racial, religious, or political language, or sexually inappropriate/explicit content, or text that is dark or violent in nature. This is not because GPT-3 is trying to be mean or hurtful – it's just a language model that generates text based on a statistical probability – it has no concept of mean or inappropriate. But GPT-3 was trained using data from the internet, which unfortunately contains plenty of offensive content. So, as a result, there will be times that the model generates inappropriate content in a completion. Thankfully, as developers, there are things we can do to prevent users from seeing potentially inappropriate responses from GPT-3.

The simplest way to avoid inappropriate content is to use your prompt text to steer the model away from generating potentially offensive...

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