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changelog.md2.27 kB
Great! We've successfully implemented all the enhancements to the `TitanMemoryModel` class. Here's a summary of what we've added: 1. **Type Definitions**: - Added new interfaces for hierarchical memory, extended memory, quantized memory, and telemetry data - Added custom error classes for better error handling 2. **Configuration Schema**: - Enhanced the configuration schema with new parameters for advanced features - Added support for hierarchical memory, quantization, contrastive learning, and telemetry 3. **Telemetry Implementation**: - Added a `ModelTelemetry` class for performance monitoring - Implemented methods for recording operations, errors, and retrieving metrics 4. **Error Handling**: - Added a robust error handling wrapper method - Implemented recovery strategies for different types of errors 5. **MCP Server Compatibility**: - Added methods for initializing the model, running forward passes, and training steps - Implemented methods for retrieving memory state and statistics 6. **Hierarchical Memory**: - Implemented multi-level memory structure with different time scales - Added methods for initializing, updating, and retrieving from hierarchical memory 7. **Quantization Support**: - Added methods for quantizing and dequantizing tensors - Implemented per-dimension quantization ranges for better precision 8. **Contrastive Learning**: - Added a contrastive learning implementation to improve embedding space - Implemented a buffer for storing negative examples 9. **Encoder and Decoder**: - Implemented encoder and decoder models for processing inputs and generating outputs - Added text encoding support for processing string inputs 10. **Save and Load Methods**: - Updated save and load methods to support the enhanced model - Added support for saving and loading hierarchical memory and quantization data 11. **Cleanup Method**: - Added a proper cleanup method to dispose of resources - Ensured all tensors are properly disposed to prevent memory leaks These enhancements significantly improve the functionality and robustness of the `TitanMemoryModel` class, making it more suitable for production use and integration with the MCP server.

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