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LLM Notebooks

Welcome to the "LLM Notebooks" repository, dedicated to exploring and understanding the capabilities of Large Language Models (LLMs). This collection of Jupyter notebooks serves as a comprehensive resource for experimenting with state-of-the-art language models, including but not limited to OpenAI's GPT-3.5.

What's Inside?

  • Notebooks: Dive into a variety of interactive Jupyter notebooks covering topics such as text generation, fine-tuning, and language understanding using LLMs.

  • Tutorials: Step-by-step guides to help you get started with working on large language models, whether you're a beginner or an experienced practitioner.

  • Examples: Explore real-world use cases and practical applications of LLMs in natural language processing and generation.

How to Use?

  1. Clone the Repository:

    git clone https://github.com/machinelearningzuu/LLM-Notebooks.git
cd LLM-Notebooks

  2. Set Up Environment:

    # Create and activate a virtual environment (optional but recommended)
python -m venv venv
source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

# Install dependencies
pip install -r requirements.txt

  3. Explore Notebooks: Open the Jupyter notebooks using your preferred environment (Jupyter Notebook, JupyterLab, Google Colab, etc.) and start experimenting!

Contribute

Contributions are welcome! Whether you want to fix a bug, add new features, or improve documentation, your contributions make this repository more valuable. See CONTRIBUTING.md for guidelines.

License

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