Prometheus LLM 🚀

Welcome to the Prometheus LLM repository! This project features a custom transformer language model designed with a modular approach. It includes research logs and experimental architectures inspired by EdenCore.

Table of Contents

• Introduction
• Features
• Topics
• Installation
• Usage
• Research Logs
• Contributing
• License
• Contact

Introduction

Prometheus LLM is an innovative project that aims to explore the frontiers of artificial intelligence through a unique transformer architecture. The model integrates concepts from cognitive science, philosophy of mind, and deep learning to create a system that not only processes language but also understands context and meaning.

This repository serves as a hub for developers, researchers, and enthusiasts interested in advancing the field of AI. Whether you are looking to contribute to the project, utilize the model in your own work, or simply learn more about its architecture, you will find valuable resources here.

Features

• Modular Design: The architecture allows for easy customization and experimentation.
• Research Logs: Documented insights and findings throughout the development process.
• EdenCore-Inspired Architectures: Experimental designs that push the boundaries of current language models.
• Support for AI Ethics: Focus on responsible AI development and implementation.
• Extensive Documentation: Clear guides and references to help you get started.

Topics

This repository covers a wide range of topics, including:

• AI Ethics
• Artificial Intelligence
• Autopoiesis
• Autopoietic Systems
• Cognitive Architecture
• Cognitive Science
• Consciousness
• Deep Learning
• Hermeneutics
• Language Models
• Morphogenesis
• Philosophy of Mind
• Recursive Dignity
• Self-Organization
• Subjectivity
• Transformer Models

Installation

To get started with Prometheus LLM, follow these steps:

1. Clone the Repository:

   git clone https://github.com/Kakz/prometheus-llm.git
   cd prometheus-llm

2. Install Dependencies: Ensure you have Python 3.8 or later installed. Then, install the required packages:

   pip install -r requirements.txt

3. Download Model Weights: You can find the latest model weights in the Releases section. Download the necessary files and place them in the models directory.

Usage

After setting up the repository, you can start using Prometheus LLM. Here’s a basic example of how to run the model:

from model import PrometheusLLM

# Initialize the model
model = PrometheusLLM()

# Generate text
input_text = "What is the nature of consciousness?"
output = model.generate(input_text)
print(output)

For more detailed usage examples, refer to the docs directory.

Research Logs

The research logs provide insights into the development process, challenges faced, and solutions found. They are crucial for understanding the evolution of the model and can be found in the logs directory.

Here are some highlights from the research logs:

• Initial Experiments: Early tests focused on understanding the capabilities of transformer models in generating coherent text.
• Ethical Considerations: Discussions around AI ethics led to the implementation of guidelines for responsible use.
• Architecture Innovations: Documenting various architectural changes and their impacts on performance.

Contributing

We welcome contributions from the community. If you want to contribute to Prometheus LLM, please follow these steps:

1. Fork the Repository: Click the "Fork" button at the top right of this page.
2. Create a New Branch:

   git checkout -b feature/YourFeature

3. Make Your Changes: Implement your feature or fix a bug.
4. Commit Your Changes:

   git commit -m "Add your message here"

5. Push to the Branch:

   git push origin feature/YourFeature

6. Create a Pull Request: Go to the original repository and submit a pull request.

Please ensure your code adheres to the project's coding standards and includes appropriate tests.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

For any questions or inquiries, please contact the project maintainer:

• Email: [email protected]
• Twitter: @YourTwitterHandle

Feel free to explore the Releases section for the latest updates and model weights.

Thank you for your interest in Prometheus LLM! We look forward to your contributions and insights.