LLM-py

A collection of Jupyter notebooks demonstrating various Large Language Model (LLM) applications and features.

Description

This project showcases implementations of RAG (Retrieval-Augmented Generation), agent orchestration, and other LLM-powered applications. Each notebook provides hands-on examples and tutorials for working with modern AI models.

Usage

Navigate to the source/ directory and open any .ipynb file in Jupyter. Run the cells in order to execute the demonstrations.

Requirements

• Python 3.8+
• Jupyter Notebook
• API keys for respective services

Environment Variables

Create a .env file in the root directory:

OPENAI_API_KEY=sk-proj-your-api-key-here  # Connect to OpenAI models for LLM operations

License

MIT License

Contributing

Contributions are welcome! Please feel free to submit issues, feature requests, or pull requests.