OpenAI Fine-tuning Example

This repository contains an example of how to use the OpenAI API to fine-tune a GPT-3 model. The code demonstrates how to upload a file, list files, initiate fine-tuning, and how to handle errors from the API.

Prerequisites

• Node.js
• npm (comes with Node.js)
• An OpenAI account with API access

Setup

1. Clone this repository to your local machine.
2. Navigate to the project directory and run npm install to install the required packages.
3. Create a .env file in the root of the project and add your OpenAI API key:

OPENAI_API_KEY=YOUR_API_KEY_HERE

Replace YOUR_API_KEY_HERE with your actual OpenAI API key.

How it works

1. Setting up the environment and imports: The code starts by importing necessary modules and initializing the OpenAI SDK.
2. Uploading a file: The commented code demonstrates how to upload a file (style-and-tone.jsonl) for fine-tuning purposes.
3. Listing uploaded files: The commented code also shows how to list all uploaded files.
4. Fine-tuning the model: There are two methods demonstrated for fine-tuning:

• Using the OpenAI SDK.
• Using a fetch request directly to the OpenAI API.

5. Error Handling: The code has error handling for API-specific errors.

Running the Code

To run the code, simply navigate to the project directory and run:

node your_filename.js

Replace your_filename.js with the name of the file containing the above code.

Note

The code contains some commented sections. To use them, simply uncomment the desired section and comment out any conflicting sections.