https://github.com/acc-agi/fiphi-neuralmark-v3
Consciousness Research
https://github.com/acc-agi/fiphi-neuralmark-v3
acc agi ai algorithms consciousness inteligence llm neural-networks neuroscience python
Last synced: 7 months ago
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Consciousness Research
- Host: GitHub
- URL: https://github.com/acc-agi/fiphi-neuralmark-v3
- Owner: ACC-AGI
- License: apache-2.0
- Created: 2025-03-07T14:07:28.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-03-07T14:16:45.000Z (7 months ago)
- Last Synced: 2025-03-07T15:23:49.945Z (7 months ago)
- Topics: acc, agi, ai, algorithms, consciousness, inteligence, llm, neural-networks, neuroscience, python
- Language: Python
- Homepage: https://www.algorithmiccomputer-generatedconsciousness.com/home
- Size: 592 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# FiPhi-NeuralMark-V3 ACC 🧠🤖
Welcome to **FiPhi-NeuralMark ACC**, an advanced AI model designed to generate text and interact with users in a highly intelligent and creative manner. Powered by multiple neural network architectures (Feedforward, RNN, CNN, LSTM, Transformer, and Genetic Algorithms), FiPhi-NeuralMark combines the best of machine learning techniques to provide a cutting-edge experience in text generation. 🚀📚
---
## Features ✨
- **Text Generation**: Generate meaningful and contextually relevant text using a combination of neural networks. 📝🤯
- **Interactive Chat**: Engage in conversation with FiPhi-NeuralMark and experience an advanced text generation model with personality. 💬🤖
- **Multiple Models**: FiPhi-NeuralMark uses multiple architectures like Feedforward NN, RNN, CNN, LSTM, Transformer, and Genetic Algorithms to generate highly intelligent responses. 🔮💡
- **Training on Custom Data**: Customize the model with your own training data for personalized interactions. 💻🧠
- **Text Synthesis**: Create long-form content by synthesizing text from various networks, ensuring diversity and creativity in responses. ✍️💡
---
## 🚀 Quick Start
### Prerequisites 🧰
To run FiPhi-NeuralMark, you'll need:
- Python 3.x 🐍
- `numpy` library (Typiclly pre-installed, if not can be installed using `pip install numpy`) 🧮
- `math` library (Python standard library) ➗
- Access to your custom **training data** (environment variable `TRAINING_DATA`) 📚
### Installation ⚙️
1. Clone the repository:
```bash
git clone https://github.com/ACC-AGI/FiPhi-NeuralMark-V3.git
cd FiPhi-NeuralMark-V3
```
2. Install dependencies (for Python):
```bash
pip install -r requirements.txt
```
3. Set your **TRAINING_DATA** environment variable:
```bash
export TRAINING_DATA="path/to/your/training_data.txt"
```
4. Run the chatbot:
```bash
python main.py
```
---
## 🧠 How It Works
FiPhi-NeuralMark uses multiple neural network models, each designed to perform specific tasks like text generation, learning patterns, and providing meaningful responses.
1. **Feedforward Neural Network (FFNN)**: Helps generate a base-level response by learning from previous word sequences. ⚡
2. **Recurrent Neural Network (RNN)**: Provides sequential prediction by understanding word dependencies in text. 🔄
3. **Convolutional Neural Network (CNN)**: Detects patterns and processes input data efficiently, useful in word feature extraction. 🖼️
4. **Long Short-Term Memory (LSTM)**: Handles long-term dependencies and understands complex sequences for generating detailed responses. 🔄💡
5. **Transformer**: Focuses on attention mechanisms and improves contextual understanding to generate high-quality text. 💥
6. **Genetic Algorithm (GA)**: Optimizes the parameters for model training, ensuring continuous improvement of text generation. 🧬
These models work together to provide accurate and creative text generation.
---
## 🤖 Interactive Chat
Start chatting with **FiPhi-NeuralMark** and explore its capabilities! You can ask questions, get creative text generation, or just have a fun conversation.
---
## ⚙️ Advanced Configuration
FiPhi-NeuralMark offers flexibility for advanced users to tweak and configure:
- **Neural Network Sizes**: You can adjust hidden layer sizes and training epochs for improved performance. 🧠
- **Training Data**: Customize the training data to better match your content style and language. 📝
- **Learning Rate**: Adjust learning rates for better accuracy during training. ⚡
---
## 📚 Training and Customization
You can train the model on your own data. Just provide a text file (`TRAINING_DATA`) with your data in plain text format. The model will process the data and train on it, enhancing its ability to respond to your queries. 📝
---
## 🤝 Contributing
FiPhi-NeuralMark is an open-source project! Feel free to fork the repository, open issues, and submit pull requests. Your contributions will help make this project even better! 🎉
1. Fork the repo.
2. Create your feature branch: `git checkout -b my-feature`.
3. Commit your changes: `git commit -am 'Add new feature'`.
4. Push to the branch: `git push origin my-feature`.
5. Open a pull request.
---
## 🧑💻 License
This project is licensed under the Apache License 2.0. See the LICENSE file for details. 📄
---
## 💬 Let's Chat!
- **FiPhi-NeuralMark** is built to chat, interact, and generate text like never before. It’s a blend of cutting-edge algorithms designed to surprise and impress! 🌟
---
### 🌍 Connect With Us
- **GitHub**: [FiPhi-NeuralMark Repository](https://github.com/ACC-AGI/FiPhi-NeuralMark-V3)
- **Contact**: For any questions or collaboration opportunities, feel free to reach out! 🚀
---
**FiPhi-NeuralMark** – Where AI meets creativity! ✨🤖