A collaborative playground for all things AI
Welcome to our collaborative AI development, testing, and experimentation environment repository! This repository is designed to be a versatile space for Python 3-based projects, including code, media files, and documents. It serves as a catch-all for various resources that need to be shared and accessed by team members.
/code
: This directory contains Python 3 scripts and modules for AI development and experimentation./media
: Here you can find media files such as images, videos, and audio relevant to our projects./documents
: Store documentation, reports, and other written materials in this directory./misc
: For any other miscellaneous files that do not fit into the above categories.
-
Install Homebrew: If you haven't already, install Homebrew by following the instructions on the Homebrew website.
-
Install Python 3: Run the following command in your terminal: brew install python
-
Verify Python 3 installation: Run the following command to verify that Python 3 has been installed successfully: python3 --version
- Download Python 3 installer: Download the Python 3 installer from the official Python website.
- Run the installer: Run the installer and follow the prompts to install Python 3.
- Verify Python 3 installation: Open a new command prompt or PowerShell and run the following command to verify that Python 3 has been installed successfully: python --version
To access the OpenAI API, sign up for an API key on the OpenAI website. Follow the instructions provided to get your API key and use it in your Python scripts to interact with the OpenAI API.
To use CrewAI and LLaMA-3 or AI development, visit their respective websites to download and install the applications:
- CrewAI: Visit the CrewAI website to download the application for collaborative AI development.
- LLaMA-3: Visit the LLaMA-3 website to download the application for AI experimentation.
These instructions assume that you have Python 3 and pip3
already installed on your system. If you haven't installed Python 3, please refer to the official Python installation guide.
- Open Terminal (Mac) or Command Prompt (Windows): You'll need to use the command line interface on your computer.
- Install CrewAI: Run the following command to install CrewAI using
pip3
:
- Python 3.7 or later.
- CUDA-compatible GPU for fine-tuning (recommended for performance).
Ensure that PyTorch is installed with GPU support if you have a compatible NVIDIA GPU. Install PyTorch by following the instructions on the PyTorch website.
pip install torch torchvision torchaudio
# Running LLaMA 3 Locally with Python (Not Finished)
## Prerequisites
Before running LLaMA 3 locally, you need to ensure that you have the following prerequisites installed:
1. **Python 3.8 or later**: Install Python from the official website (https://www.python.org/downloads/) if you haven't already.
2. **PyTorch**: Install PyTorch following the instructions on the official website (https://pytorch.org/get-started/locally/).
3. **Git**: Install Git from the official website (https://git-scm.com/downloads) if you haven't already.
4. **LLaMA 3 Model**: You need to obtain the LLaMA 3 model files. Since the model is large, it is not included in the repository. You can download the model files from the official repository or other trusted sources.
## Step 1: Clone the LLaMA 3 Repository
Open your terminal or command prompt and navigate to the directory where you want to clone the LLaMA 3 repository. Then, run the following command:
```bash
git clone https://github.com/facebookresearch/llama.git
## Contributing
1. Fork the repository to your GitHub account.
2. Create a new branch for your feature or bug fix:
git checkout -b feature/your-feature
3. Make your changes and commit them:
git commit -m "Description of your changes"
4. Push your branch to GitHub and open a pull request.
## Support
If you encounter any issues or have questions, please feel free to open an issue on this repository.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Additional Resources
- [OpenAI API documentation](https://www.openai.com/docs)
- [CrewAI documentation](https://www.crewai.com/docs)
- [LLaMA-3] documentation](https://www.llama3.com/docs)