--- 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! ✨🤖