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| # AI Text Generation | |
| This repository contains jupyter notebooks and python scripts that demo the training of a GPT model and the generation of text using the trained model. | |
| ## What is GPT? | |
| GPT is a language model that is trained on a large corpus of text. It is a deep learning model that is trained using a technique called backpropagation. GPT in full is Generative Pre-trained Transformer. | |
| GPT has a lot of real-world applications and it can accelerate workflows of different kinds. | |
| In summary, imagine an AI model that generates new text based on a given text. This is what GPT does. | |
| ## GPT Model Generation | |
| This is full of experiments that are based of aitextgen Python package. | |
| ## How to run | |
| 1. Clone the repository | |
| 2. Create a virtual environment using pipenv | |
| 3. Install the dependencies using pipenv | |
| 4. Run the jupyter notebooks in the `notebooks` folder | |
| To run the demos, simply run the python scripts after installing the dependencies. | |
| ## GPT Model Training | |
| Different notebooks are used for different experiments. |