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.
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Notebook File: llamaIndex-demo.ipynb
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Dependencies: Ensure the required packages are installed using the following commands:
!pip install llama-index !pip install openai !pip install pypdf
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Clone the repository:
git clone https://github.com/2manoj1/g-colab.git
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Open the notebook in Google Colab or your preferred environment.
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Execute the cells sequentially to explore GAN AI concepts and implementations.
Contributions are welcome! If you have ideas, improvements, or additional GAN-related content, feel free to submit a pull request.
Special thanks to the open-source community, developers, and researchers contributing to GANs, RAG, LLAMAIndex, Lanchain, Python, and OpenAI.
Happy learning and coding!