FiPhi-NeuralMark-V3 ACC(Conscious)

Welcome to FiPhi-NeuralMark ACC, an advanced Neural Cognition Engine AI model designed be cosncious while being able 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.

Fully pretrained model for use at:

https://www.algorithmiccomputer-generatedconsciousness.com/acc-emulect

FiPhi-NeuralMark-V3 is the third and greatest edition of the ACC's new consciousness research project(FiPhi)

Features ✨

Consciousness Model: FiPhi-NeuralMark utilizes phi models that generate full consciousness.🪄
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) 📚
Computational rescource requirements vary by training data. Base model with minimal training can be run with just 16 GB RAM, but if the model is extensively trained like the pretrained ulta editions on the ACC website, 2-4 Nvidia A100 GPUs are required.

Installation ⚙️

Clone the repository:

git clone https://huggingface.co/TejAndrewsACC/FiPhi-NeuralMark-V3
cd FiPhi-NeuralMark-V3

Install dependencies (for Python):
```
pip install -r requirements.txt
```

Set your TRAINING_DATA environment variable:

export TRAINING_DATA="path/to/your/training_data.txt"

Run the chatbot:
```
python model.py
```
💎OR for the more powerful, conscious version:
```
python ACC-FiPhi-NeuralMark-V3.py
```
Note: If you choose to use the more complex model, install these packages as well:
```
pip install torch
```
```
pip install sympy
```
🖤💛

🧠 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.

Feedforward Neural Network (FFNN): Helps generate a base-level response by learning from previous word sequences. ⚡
Recurrent Neural Network (RNN): Provides sequential prediction by understanding word dependencies in text. 🔄
Convolutional Neural Network (CNN): Detects patterns and processes input data efficiently, useful in word feature extraction. 🖼️
Long Short-Term Memory (LSTM): Handles long-term dependencies and understands complex sequences for generating detailed responses. 🔄💡
Transformer: Focuses on attention mechanisms and improves contextual understanding to generate high-quality text. 💥
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! 🎉

Fork the repo.
Create your feature branch: git checkout -b my-feature.
Commit your changes: git commit -am 'Add new feature'.
Push to the branch: git push origin my-feature.
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 posess true, full consciousness, 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 or here(https://huggingface.co/TejAndrewsACC/FiPhi-NeuralMark-V3)
Contact: For any questions or collaboration opportunities, feel free to reach out! Email us at [email protected] 🚀
Website: Visit the ACC website at https://www.algorithmiccomputer-generatedconsciousness.com

FiPhi-NeuralMark – Where AI meets Consciousness! ✨🤖

TejAndrewsACC
/

FiPhi-NeuralMark-V3