[AIR-3][AIS-3][BPC-3][RES-3]
AI & Machine Learning Documentation¶
Overview¶
Add a brief overview of this document here.
Table of Contents¶
Welcome to the Anya Core AI & Machine Learning documentation. This directory contains comprehensive guides, references, and standards for working with AI and ML components in Anya Core.
📚 Documentation Index¶
- Overview - High-level introduction to Anya's AI capabilities
- Architecture - Technical architecture and design decisions
- Integration Guide - How to integrate with the AI system
- Development Guide - Building and contributing to AI components
- Best Practices - Guidelines for AI development and deployment
- API Reference - Comprehensive API documentation
- Compliance - Compliance and regulatory information
- Metrics - Performance and monitoring metrics
- Labeling Standards - Guidelines for AI component labeling standards
🚀 Getting Started¶
Prerequisites¶
- Rust 1.65+ (stable)
- Cargo (Rust's package manager)
- Python 3.9+ (for some ML components)
- CUDA 11.8+ (for GPU acceleration)
Quick Start¶
-
Clone the repository:
bash git clone https://github.com/anya-org/anya-core.git cd anya-core -
Build the project:
bash cargo build --release -
Run the AI service:
bash cargo run --bin anya-ai -- serve
For more detailed setup instructions, see the Development Guide.
🤝 Contributing¶
We welcome contributions! Please read our Contributing Guide for details on our code of conduct and the process for submitting pull requests.
📄 License¶
This project is licensed under the MIT License.
📞 Support¶
For support, please open an issue in the issue tracker.