A NLP Model for AI Chatbot !
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This project aims to build a miniature version of GPT (Generative Pre-trained Transformer) named picoGPT, which involves creating a smaller transformer neural network with fewer layers and fewer hidden units, which can be trained on a small corpus of text data for specific NLP tasks. The steps involved in building a miniature GPT model include data preparation, tokenization, defining the model architecture, pre-training the model, fine-tuning the model on downstream NLP tasks, evaluating the model's performance, and deploying the model in a production environment. Building a miniature GPT model requires a good understanding of natural language processing, machine learning, and deep learning, and it can be a useful exercise for researchers like us who want to experiment with smaller and more efficient models that can be deployed on resource-constrained devices.
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Kevin Geejo - [email protected]
Project Link: https://github.com/KevinGeejo/PicoGPT