Other Key efficiency improvements in DeepSeek’s architecture include:
Enhanced attention mechanisms with sliding window patterns, optimized key-value caching and multi-head attention.
Advanced position encoding innovations, including rotary position embeddings and dynamic calibration.
A novel routing mechanism that replaces the traditional auxiliary loss with a dynamic bias approach, improving expert utilization and stability.
These innovations have led to a 15-20% improvement in computational efficiency compared to traditional transformer implementations.