Last Updated on October 15, 2025 by Editorial Team Author(s): Hira Ahmad Originally published on Towards AI. When Transformers Multiply Their Heads: What Increasing Multi-Head Attention Really Does Transformers have become the backbone of many AI breakthroughs, in NLP, vision, speech, etc. A central component is multi-head self-attention: the notion that instead of one attention lens, a model uses several, each looking at different aspects of the input. But more heads isn’t always strictly ...
