Generative AI Project

This repository contains the Jupyter Notebook gen_ai_1.ipynb, which demonstrates various techniques and models used in generative AI.

Overview

The notebook covers the following topics:

• Basic Implementation of FLAN-T% LLM Model: Initial implementation and conversation summaries without any prompt engineering.
• Colab Integration: Created and integrated using Google Colab for ease of use and collaboration.

Installation

To run the notebook, ensure you have Python and Jupyter installed. You can install the required libraries using the following commands:

pip install jupyter
pip install -r requirements.txt

Usage

1. Clone the repository:

   git clone https://github.com/Harsh-Mathur-1503/genrative_ai.git
   cd genrative_ai

2. Launch Jupyter Notebook:

   jupyter notebook

3. Open gen_ai_1.ipynb and run the cells to execute the code.

Results

The notebook includes sections that generate and visualize the results of the generative models. These visualizations provide insights into the model's performance and the quality of the generated data.

Contributing

If you would like to contribute to this project, please fork the repository and create a pull request with your changes.

License

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