Titan Cognitive Memory
Implements a neural memory system for sequence learning and prediction, drawing inspiration from Google Research's work on generative AI.
About
Titan Cognitive Memory is a neural memory server inspired by Google Research's "Generative AI for Programming: A Common Task Framework." It enables sequence learning and prediction while maintaining state through a memory vector. The server implements key concepts like memory-augmented sequence learning, surprise metrics for novelty detection, manifold optimization, and state maintenance to improve code understanding and generation capabilities.
Key Features
- Memory state management
- 51 GitHub stars
- Neural memory model with configurable dimensions
- Sequence learning and prediction
- Surprise metric calculation for novelty detection
- Model persistence (save/load)
Use Cases
- Novelty detection in sequential data
- Improving code generation models
- Maintaining state in AI applications
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