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# FiPhi-NeuralMark-V3 ACC ๐ง ๐ค
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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. ๐๐
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---
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## Features โจ
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- **Text Generation**: Generate meaningful and contextually relevant text using a combination of neural networks. ๐๐คฏ
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- **Interactive Chat**: Engage in conversation with FiPhi-NeuralMark and experience an advanced text generation model with personality. ๐ฌ๐ค
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- **Multiple Models**: FiPhi-NeuralMark uses multiple architectures like Feedforward NN, RNN, CNN, LSTM, Transformer, and Genetic Algorithms to generate highly intelligent responses. ๐ฎ๐ก
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- **Training on Custom Data**: Customize the model with your own training data for personalized interactions. ๐ป๐ง
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- **Text Synthesis**: Create long-form content by synthesizing text from various networks, ensuring diversity and creativity in responses. โ๏ธ๐ก
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---
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## ๐ Quick Start
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### Prerequisites ๐งฐ
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To run FiPhi-NeuralMark, you'll need:
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- Python 3.x ๐
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- `numpy` library (Typiclly pre-installed, if not can be installed using `pip install numpy`) ๐งฎ
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- `math` library (Python standard library) โ
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- Access to your custom **training data** (environment variable `TRAINING_DATA`) ๐
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### Installation โ๏ธ
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1. Clone the repository:
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```bash
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git clone https://github.com/ACC-AGI/FiPhi-NeuralMark-V3.git
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cd FiPhi-NeuralMark-V3
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```
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2. Install dependencies (for Python):
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```bash
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pip install -r requirements.txt
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```
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3. Set your **TRAINING_DATA** environment variable:
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```bash
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export TRAINING_DATA="path/to/your/training_data.txt"
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```
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4. Run the chatbot:
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```bash
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python main.py
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```
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---
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## ๐ง How It Works
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FiPhi-NeuralMark uses multiple neural network models, each designed to perform specific tasks like text generation, learning patterns, and providing meaningful responses.
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1. **Feedforward Neural Network (FFNN)**: Helps generate a base-level response by learning from previous word sequences. โก
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2. **Recurrent Neural Network (RNN)**: Provides sequential prediction by understanding word dependencies in text. ๐
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3. **Convolutional Neural Network (CNN)**: Detects patterns and processes input data efficiently, useful in word feature extraction. ๐ผ๏ธ
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4. **Long Short-Term Memory (LSTM)**: Handles long-term dependencies and understands complex sequences for generating detailed responses. ๐๐ก
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5. **Transformer**: Focuses on attention mechanisms and improves contextual understanding to generate high-quality text. ๐ฅ
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6. **Genetic Algorithm (GA)**: Optimizes the parameters for model training, ensuring continuous improvement of text generation. ๐งฌ
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These models work together to provide accurate and creative text generation.
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---
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## ๐ค Interactive Chat
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Start chatting with **FiPhi-NeuralMark** and explore its capabilities! You can ask questions, get creative text generation, or just have a fun conversation.
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---
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## โ๏ธ Advanced Configuration
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FiPhi-NeuralMark offers flexibility for advanced users to tweak and configure:
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- **Neural Network Sizes**: You can adjust hidden layer sizes and training epochs for improved performance. ๐ง
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- **Training Data**: Customize the training data to better match your content style and language. ๐
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- **Learning Rate**: Adjust learning rates for better accuracy during training. โก
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---
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## ๐ Training and Customization
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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. ๐
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---
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## ๐ค Contributing
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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! ๐
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1. Fork the repo.
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2. Create your feature branch: `git checkout -b my-feature`.
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3. Commit your changes: `git commit -am 'Add new feature'`.
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4. Push to the branch: `git push origin my-feature`.
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5. Open a pull request.
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---
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## ๐งโ๐ป License
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This project is licensed under the Apache License 2.0. See the LICENSE file for details. ๐
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---
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## ๐ฌ Let's Chat!
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- **FiPhi-NeuralMark** is built to chat, interact, and generate text like never before. Itโs a blend of cutting-edge algorithms designed to surprise and impress! ๐
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---
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### ๐ Connect With Us
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- **GitHub**: [FiPhi-NeuralMark Repository](https://github.com/ACC-AGI/FiPhi-NeuralMark-V3)
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- **Contact**: For any questions or collaboration opportunities, feel free to reach out! ๐
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---
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**FiPhi-NeuralMark** โ Where AI meets creativity! โจ๐ค
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