How to Fine-Tune GPT3 Using OpenAI API and Python

Leverage the full potential of GPT-2 through fine-tuning with your own data

Zoumana Keita
Geek Culture

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Image by Gabriel Barletta on Unsplash

Introduction

GPT-3 is a powerful model that can help you ride on the shoulder of the giant by fine-tuning it on your specific use case. In this tutorial, we will use the Openai Python package provided by OpenAI to make it more convenient to use their API and access GPT-3’s capabilities.

It will walk through the fine-tuning process of the GPT-3 model using Python on the user’s own data, covering all the steps, from getting API credentials to preparing data, training the model, and validating it.

A Step-by-Step Implementation of Fine Tuning GPT-3

Creating an OpenAI developer account is mandatory to access the API key, and the steps are provided below:

First, create an account from the OpenAI official website.

Then, select the user profile icon on the top-right corner and click “View API Keys” to access the page for creating a new API key or using an existing one.

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Zoumana Keita
Geek Culture

Senior Data Scientist/IT Analyst @OXY || Videos about AI, Data Science, Programming & Tech 👉 https://www.youtube.com/@techwithzoum