AI Large Model Application Practice

Jan 1, 2026 · Artificial Intelligence

Why Single-Head Attention Falls Short and Multi-Head Saves the Day

This article explains the inherent limitations of single-head attention in Transformers, illustrates them with a linguistic example, and then details how multi-head attention works through independent projection matrices, splitting and concatenation, ultimately boosting model expressiveness, robustness, and interpretability.