Welcome to the repository for exploring key concepts of generative AI using Large Language Models (LLMs). This repository contains notebooks and code examples to help you understand and experiment with generative AI techniques.

• Introduction
• Getting Started
• Prerequisites
• Installation
• Usage
• Notebooks
• Contributing
• License

Generative AI with Large Language Models is a fascinating field of artificial intelligence that focuses on generating human-like text based on a given input. This repository provides hands-on notebooks and code examples to explore various aspects of LLMs, including training, fine-tuning, and using pre-trained models for text generation.

To get started with the notebooks and code in this repository, follow the instructions below.

• Python 3.8 or higher
• Jupyter Notebook or JupyterLab
• Basic understanding of machine learning and natural language processing

1. Clone the repository:

   git clone https://github.com/sepehrkrz/GenerativeAI_LLM.git
   cd GenerativeAI_LLM

1. Launch Jupyter Notebook or JupyterLab:

   jupyter notebook
   # or
   jupyter lab

2. Navigate to the directory containing the notebooks and open any notebook to start exploring.

• Summarize Dialogue Gen AI.ipynb: Summarize Dialogues using Hugging Face

We welcome contributions to improve the notebooks and code examples in this repository. If you would like to contribute, please follow these steps:

1. Fork the repository
2. Create a new branch (git checkout -b feature/your-feature)
3. Commit your changes (git commit -am 'Add some feature')
4. Push to the branch (git push origin feature/your-feature)
5. Create a new Pull Request

This project is licensed under the MIT License - see the LICENSE file for details.

Feel free to explore the notebooks and code in this repository to deepen your understanding of generative AI with Large Language Models. If you have any questions or suggestions, please open an issue or contact us.

Happy coding!