The DAIT-System (Decentralized AI Training System) is an innovative platform designed to facilitate the collaborative training of AI models in a decentralized, secure, and privacy-preserving manner. Leveraging cutting-edge Web3 technologies, DAIT-System empowers musicians and creators to contribute to AI training without compromising their data.
- Decentralized Training: Utilizes the Flower AI Framework to enable collaborative model training across devices.
- Data Privacy: Ensures that sensitive data remains on the user's device, promoting privacy and security.
- Blockchain Integration: Leverages Cosmos Network for inter-blockchain communication and Arweave for permanent data storage.
- NFT Rewards: Incorporates an NFT marketplace to reward contributors and facilitate ownership and licensing of AI-generated content.
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Clone the repository: git clone https://github.com/yourusername/DAIT-System.git
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Navigate to the project directory: cd DAIT-System
Copy code 3. Install dependencies (example using npm)
Provide a few examples of how your project can be used. For instance, training a new model, contributing data for training, or generating AI music.
# Example Python code snippet for using a component of the DAIT-System
Contributing
We welcome contributions from the community! Please refer to our Contribution Guidelines for more information on how to get involved.
License
DAIT-System is released under the MIT License. See the LICENSE file for more details.
Contact
For questions, suggestions, or collaborations, please contact us at support@dait-system.com.
Acknowledgements
Mention any organizations, individuals, or projects that have contributed to this project.
arduino
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Remember to replace placeholder links and emails (`https://github.com/yourusername