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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

Integrating the Answers endpoint

Now we'll go back and add some code to our routes/answer.js file so that it calls the OpenAI Answers endpoint to answer the user's question, rather than returning the placeholder text:

  1. Open the routes/answer.js file and do the following.
  2. Delete all of the code after line 5.
  3. Starting on line 5, add the following code followed by a line return:
    const apiKey = process.env.OPENAI_API_KEY;
    const client = axios.create({
      headers: { 'Authorization': 'Bearer ' + apiKey }
    });
  4. Next, add the following code with a line return after it:
    const documents = [
      "I am a day older than I was yesterday.<|endoftext|>",
      "I build applications that use GPT-3.<|endoftext|>",
      "My preferred programming is Python.<|endoftext|>"
    ]
  5. Add the following code starting on line 16 followed by a line return:
    const endpoint = 'https://api...
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