Part 4/10:
DeepSeek has employed a modified attention mechanism known as Multi-Layer Attention (MLA) which allows for substantial reductions in the memory demanded by traditional transformer architectures. Though the model still operates under a quadratic complexity framework, the efficiency gains are striking, resulting in estimated savings of 80-90% in memory pressure during operations.