super-adventure

A collaborative playground for all things AI

Collaborative AI Development Environment README

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.

Repository Structure

/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.

Getting Started

Setting Up Python 3

For Mac

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

For Windows

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

Accessing OpenAI API

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.

Using CrewAI and LLaMA-3

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.

Installing CrewAI with pip3 on Mac and Windows

General Instructions

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.

Installation

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:

Setting Up and Fine-Tuning LLaMA 3 with Python

Setting Up Python Environment Locally

Prerequisites

Python 3.7 or later.
CUDA-compatible GPU for fine-tuning (recommended for performance).

Install PyTorch

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)

AkashicRecords/super-adventure