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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

Introducing the Answers endpoint

The OpenAI Answers endpoint is specifically designed for question-answering tasks. It provides more control than the Completions endpoint by enabling the use of a source of truth for the answers. For our GPT Answers app, that source of truth will be a knowledge base that will be used for answering questions. The knowledge base (that is, documents) can be provided along with the endpoint request or by referencing a pre-uploaded file containing the data.

The URL for the Answers endpoint is https://api.openai.com/v1/answers and the endpoint accepts an HTTP POST request and a number of input parameters. The following is a brief description of the available input parameters, but for more complete details, see the OpenAI docs for the Answers endpoint located at https://beta.openai.com/docs/api-reference/answers.

Here are the required parameters:

  • model (required, string) – The ID of the model that will be used for completions.
  • ...
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