Exohood Machine Learning is an artificial intelligence system designed to learn from the entire ecosystem. Its primary purpose is to update the codebase, protect against malicious code, and serve as a support tool for users and developers. It is being programmed to learn and defend Exohood, enabling it to operate autonomously. The ultimate goal is to achieve a fully decentralized future, where the intelligence of Exohood Machine Learning enhances performance and accuracy.
Contributors to Exohood Machine Learning are expected to adhere to the following guidelines:
a. Collaborate and assist in improving the codebase to ensure continuous enhancement of the intelligence system.
b. Only use approved programming languages for developing artificial intelligence capabilities.
This repository serves as a platform for suggestions, questions, and discussions related to Exohood Machine Learning. Users are encouraged to open repositories to share their ideas, provide feedback, or seek clarification on any aspect of the project.
We welcome contributions from the community to further develop Exohood Machine Learning. To contribute, follow these steps:
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Fork the repository and create a new branch.
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Make your desired changes and improvements.
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Test your changes thoroughly to ensure they meet the required standards.
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Submit a pull request, explaining the changes you have made and their significance.
This project is licensed under the MIT License. By contributing to this repository, you agree to abide by the terms and conditions set forth in the license agreement.
For any questions, suggestions, or inquiries related to Exohood Machine Learning, please reach out to us at contact@exohood.com. We value your input and look forward to your engagement in advancing the capabilities of Exohood's artificial intelligence.