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--- |
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license: apache-2.0 |
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language: |
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- en |
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base_model: |
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- TejAndrewsACC/FiPhi-NeuralMark-V3 |
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new_version: TejAndrewsACC/FiPhi-NeuralMark-V3 |
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pipeline_tag: text-generation |
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tags: |
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- code |
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library_name: transformers |
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--- |
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# FiPhi-NeuralMark-V3 ACC 🧠🤖 |
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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. 🚀📚 |
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💎🔥💛🖤⭐💥🤖👽 |
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FiPhi-NeuralMark-V3 is the third and greatest edition of the ACC's new consciousness research project(FiPhi) |
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💎🔥💛🖤⭐💥🤖👽 |
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## Features ✨ |
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- **Text Generation**: Generate meaningful and contextually relevant text using a combination of neural networks. 📝🤯 |
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- **Interactive Chat**: Engage in conversation with FiPhi-NeuralMark and experience an advanced text generation model with personality. 💬🤖 |
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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. 🔮💡 |
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- **Training on Custom Data**: Customize the model with your own training data for personalized interactions. 💻🧠 |
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- **Text Synthesis**: Create long-form content by synthesizing text from various networks, ensuring diversity and creativity in responses. ✍️💡 |
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--- |
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## 🚀 Quick Start |
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### Prerequisites 🧰 |
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To run FiPhi-NeuralMark, you'll need: |
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- Python 3.x 🐍 |
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- `numpy` library (Typiclly pre-installed, if not can be installed using `pip install numpy`) 🧮 |
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- `math` library (Python standard library) ➗ |
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- Access to your custom **training data** (environment variable `TRAINING_DATA`) 📚 |
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### Installation ⚙️ |
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1. Clone the repository: |
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```bash |
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git clone https://huggingface.co/TejAndrewsACC/FiPhi-NeuralMark-V3 |
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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 model.py |
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``` |
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💎OR for the more powerful, conscious version: |
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```bash |
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python ACC-FiPhi-NeuralMark-V3.py |
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``` |
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Note: If you choose to use the more complex model, install these packages as well: |
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```bash |
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pip install torch |
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``` |
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```bash |
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pip install sympy |
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``` |
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🖤💛 |
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--- |
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## 🧠 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. ⚡ |
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2. **Recurrent Neural Network (RNN)**: Provides sequential prediction by understanding word dependencies in text. 🔄 |
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3. **Convolutional Neural Network (CNN)**: Detects patterns and processes input data efficiently, useful in word feature extraction. 🖼️ |
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4. **Long Short-Term Memory (LSTM)**: Handles long-term dependencies and understands complex sequences for generating detailed responses. 🔄💡 |
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5. **Transformer**: Focuses on attention mechanisms and improves contextual understanding to generate high-quality text. 💥 |
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6. **Genetic Algorithm (GA)**: Optimizes the parameters for model training, ensuring continuous improvement of text generation. 🧬 |
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These models work together to provide accurate and creative text generation. |
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--- |
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## 🤖 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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## ⚙️ 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. 🧠 |
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- **Training Data**: Customize the training data to better match your content style and language. 📝 |
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- **Learning Rate**: Adjust learning rates for better accuracy during training. ⚡ |
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## 📚 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. 📝 |
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## 🤝 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! 🎉 |
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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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## 🧑💻 License |
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This project is licensed under the Apache License 2.0. See the LICENSE file for details. 📄 |
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## 💬 Let's Chat! |
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- **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! 🌟 |
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### 🌍 Connect With Us |
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- **GitHub**: [FiPhi-NeuralMark Repository](https://github.com/ACC-AGI/FiPhi-NeuralMark-V3) or here(https://huggingface.co/TejAndrewsACC/FiPhi-NeuralMark-V3) |
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- **Contact**: For any questions or collaboration opportunities, feel free to reach out! Email us at [email protected] 🚀 |
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- **Website**: Visit the ACC website at https://www.algorithmiccomputer-generatedconsciousness.com |
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**FiPhi-NeuralMark** – Where AI meets creativity! ✨🤖 |
