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Fine-tuning allows improving the model's performance on specific tasks by using additional training data.

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Fine-Tuning Project with OpenAI

This project guides you through the necessary steps to fine-tune a GPT model using the OpenAI API. Fine-tuning allows improving the model's performance on specific tasks by using additional training data. Compared with openai, you can use the history of a conversation and keep it. What's more, you can have an ongoing conversation.


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Table of Contents

Prerequisites

Before starting, make sure you have:

  • An OpenAI account
  • Python 3.6 or higher
  • pip installed

Installation

Clone the GitHub repository and install the required dependencies:

git clone https://github.com/Errahum/HeliosTuner-OpenAI-fine-tuning.git
cd your-project
pip install -r requirements.txt

Resources

Demo Video

For a visual demonstration of the fine-tuning process, watch the video below:

Présentation Vidéo

Contribute

Contributions are welcome! Please submit an issue or a pull request via GitHub. Please contact me before contributing.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

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Fine-tuning allows improving the model's performance on specific tasks by using additional training data.

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