https://github.com/machinelearningzuu/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.
https://github.com/machinelearningzuu/llm-notebooks
Last synced: about 1 year ago
JSON representation
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.
- Host: GitHub
- URL: https://github.com/machinelearningzuu/llm-notebooks
- Owner: machinelearningzuu
- Created: 2024-01-08T17:28:29.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-01-10T01:33:12.000Z (over 2 years ago)
- Last Synced: 2025-03-29T16:22:21.065Z (about 1 year ago)
- Language: HTML
- Size: 12.4 MB
- Stars: 6
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 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:**
```bash
git clone https://github.com/machinelearningzuu/LLM-Notebooks.git
cd LLM-Notebooks
```
2. **Set Up Environment:**
```bash
# 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](CONTRIBUTING.md) for guidelines.
## License
This repository is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.