Description:

This project demonstrates how to create a personalized version of ChatGPT using your own data and Python. By simply adding your dataset, you can achieve more tailored and specific responses in line with the interactions you desire.

Prerequisites:

• Python3
• OpenAI API key (Required for fine-tuning and interaction)

Project Structure:

• data/: Place your conversation dataset here.
• fine_tune.py: Python script for fine-tuning the model.
• interact.py: Python script for interacting with your personalized ChatGPT.
• config.py: Configuration file for API keys and other settings.

Usage:

1. Data Collection and Preprocessing:

   • Gather your conversation dataset and place it in the data/ directory.
   • Ensure your dataset is cleaned and formatted properly.

2. Fine-tuning:

   • Open fine_tune.py.
   • Modify the hyperparameters and settings according to your dataset and requirements.
   • Run the script to fine-tune the language model using the OpenAI API.

3. Setting Up API Calls:

   • Rename config_example.py to config.py.
   • Add your OpenAI API key to the config.py file.

4. Interaction:

   • Open interact.py.
   • Customize the conversation flow and interaction logic as needed.
   • Run the script to interact with your personalized ChatGPT.

Note:

• Be mindful of ethical considerations when using AI models for personalized interactions.
• Ensure you handle user data and privacy in compliance with regulations.

Acknowledgements:

This project is built on the foundation of OpenAI's GPT-3 model. Special thanks to the open-source community for sharing resources and examples.

Contributing:

Contributions are welcome! If you have improvements or additional features, feel free to open an issue or submit a pull request.