Using OpenAI API for Natural Language Processing in JavaScript/

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Generation

Generation

Learn how to use chat completions for generating new text and its practical use cases.

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Overview

The OpenAI models are also great at generating code and text as they have been trained on a large amount of data from different resources.

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Generation
Generation

We input the prompt text and request parameters into the OpenAI API's model to generate both text and code.

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Completions: text generation
Completions: text generation

Generate text

Now that we have learned about how OpenAI API’s model work, we can utilize the following prompt to generate new ideas about deep learning and images:

Brainstorm some ideas combining deep learning and images:

Example

Let’s try the above example in the code widget below:

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// Define endpoint URL here
const endpointUrl = "https://api.openai.com/v1/chat/completions";
// Define Header Parameters here
const headerParameters = {
  "Authorization": "Bearer {{SECRET_KEY}}",
  "Content-Type": "application/json"
};
// Body Parameters
const bodyParameters = JSON.stringify({
    model: "gpt-3.5-turbo",
    messages: [{ role: "system", content: "You are a helpful assistant." }],
    messages: [{ role: "user", content: "Brainstorm some ideas combining deep learning and images." }],
    temperature: 0.75,
    max_tokens: 200,
    top_p: 1.0,
    frequency_penalty: 1,
    presence_penalty: 1
});
// Set API call options
const options = {
  method: "POST",
  headers: headerParameters,
  body: bodyParameters
};
// Function to make API call
async function generateCompletion() {
  try {
    const response = await fetch(`${endpointUrl}`, options);
    // Print the  response
    printResponse(response);
  } catch (error) {
    // Print the  error message
    printError(error);
  }
}
// Call the function to make the API call.
generateCompletion();

In the code above, we use ...