GAN AI Notebook

This repository contains a Google Colab notebook focused on Generative Adversarial Networks (GAN) for AI. The notebook explores various aspects, including RAG with LLAMAIndex, Lanchain, Python, OpenAI, and GAN AI codes.

Notebook Details

• Notebook File: llamaIndex-demo.ipynb

• Dependencies: Ensure the required packages are installed using the following commands:

  !pip install llama-index
  !pip install openai
  !pip install pypdf

Usage

1. Clone the repository:

   git clone https://github.com/2manoj1/g-colab.git

2. Open the notebook in Google Colab or your preferred environment.

3. Execute the cells sequentially to explore GAN AI concepts and implementations.

Contributions

Contributions are welcome! If you have ideas, improvements, or additional GAN-related content, feel free to submit a pull request.

Acknowledgements

Special thanks to the open-source community, developers, and researchers contributing to GANs, RAG, LLAMAIndex, Lanchain, Python, and OpenAI.

Happy learning and coding!