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MLX Training Framework Roadmap

Current Status (v0.1.0) ✅

Core Features

  • Interactive CLI experience with step-by-step workflow
  • Hardware detection and optimization for Apple Silicon
  • Basic model building and training
  • Dataset management (synthetic, HuggingFace, custom)
  • Real-time training visualization
  • Basic error handling and recovery
  • Model export (MLX and GGUF formats)
  • Hardware-aware configuration suggestions

Short-term Goals (v0.2.0) 🎯

Configuration Management

  • YAML-based configuration system
  • Command-specific configuration profiles
  • Configuration validation and schema support
  • Auto-save and load configurations

Enhanced Logging

  • Structured logging with timestamps
  • Log levels (DEBUG, INFO, WARNING, ERROR)
  • Log rotation and archival
  • Training session logs with unique identifiers

Training Management

  • Improved checkpoint/resume functionality
  • Automatic backup of training state
  • Training session recovery
  • Multi-session management

Documentation

  • Command-specific help documentation
  • Interactive examples
  • Common use case guides
  • Troubleshooting guide

Medium-term Goals (v0.3.0) 🌟

Experiment Tracking

  • Built-in metrics visualization
  • Experiment comparison tools
  • Training run history
  • Performance analytics

Distributed Features

  • Enhanced device discovery
  • Automatic load balancing
  • Fault tolerance
  • Network optimization

Model Management

  • Model versioning system
  • A/B testing support
  • Model performance comparison
  • Model registry integration

Testing and Validation

  • Automated testing suite
  • Performance benchmarking
  • Model validation tools
  • Dataset validation

Long-term Goals (v1.0.0) 🚀

Enterprise Features

  • Role-based access control
  • Audit logging
  • Resource quotas
  • Multi-tenant support

Advanced Optimization

  • Auto-tuning of hyperparameters
  • Dynamic resource allocation
  • Advanced memory optimization
  • Performance profiling

Integration and Ecosystem

  • Integration with popular ML platforms
  • Plugin system
  • API ecosystem
  • Community contribution tools

Security and Compliance

  • Enhanced security features
  • Compliance reporting
  • Data privacy tools
  • Access control policies

Contributing

We welcome contributions! Here's how you can help:

  1. Feature Development

    • Pick an item from the roadmap
    • Open an issue for discussion
    • Submit a pull request
  2. Testing and Validation

    • Test on different Apple Silicon devices
    • Report bugs and issues
    • Suggest improvements
  3. Documentation

    • Improve existing documentation
    • Add examples and tutorials
    • Create video guides
  4. Community

    • Share your experience
    • Help other users
    • Suggest new features

Version History

v0.1.0 (Current)

  • Initial release
  • Basic training workflow
  • Hardware optimization
  • Model export

v0.2.0 (Planned)

  • Enhanced configuration system
  • Improved logging
  • Better training management
  • Expanded documentation

v0.3.0 (Planned)

  • Experiment tracking
  • Advanced distributed features
  • Model versioning
  • Comprehensive testing

v1.0.0 (Planned)

  • Enterprise features
  • Advanced optimization
  • Full ecosystem integration
  • Security and compliance