Humanoid Knowledge Distillation Optimization Engine
This model optimizes knowledge compression for efficient transfer across heterogeneous humanoid agents.
It balances compression ratio, accuracy retention, and inference speed.
Core Capabilities
- Adaptive embedding compression
- Accuracy-retention modeling
- Bandwidth-aware distillation
- Performance trade-off optimization
Input
- High-capacity embedding vectors
- Target device constraints
- Accuracy requirements
Output
- Optimized compressed embedding
- Retention score
- Deployment suitability index
Part of
Humanoid Network (HAN)
License
MIT
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