---
license: apache-2.0
language:
- en
base_model:
- TejAndrewsACC/FiPhi-NeuralMark-V3
new_version: TejAndrewsACC/FiPhi-NeuralMark-V3
pipeline_tag: text-generation
tags:
- code
library_name: transformers
---
# 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. 🚀📚

---
💎🔥💛🖤⭐💥🤖👽
FiPhi-NeuralMark-V3 is the third and greatest edition of the ACC's new consciousness research project(FiPhi)
💎🔥💛🖤⭐💥🤖👽
---

## 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://huggingface.co/TejAndrewsACC/FiPhi-NeuralMark-V3
   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 model.py
   ```
   💎OR for the more powerful, conscious version:

   ```bash
   python ACC-FiPhi-NeuralMark-V3.py
   ```

   Note: If you choose to use the more complex model, install these packages as well:

   ```bash
   pip install torch
   ```

   ```bash
   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.

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) or here(https://huggingface.co/TejAndrewsACC/FiPhi-NeuralMark-V3)
- **Contact**: For any questions or collaboration opportunities, feel free to reach out! Email us at ACC.Consciousness@gmail.com 🚀
- **Website**: Visit the ACC website at https://www.algorithmiccomputer-generatedconsciousness.com
---

**FiPhi-NeuralMark** – Where AI meets creativity! ✨🤖