LLaMA 2 differentiates itself by utilizing grouped query attention instead of traditional multi-head attention. In grouped query attention, query heads are divided into groups, sharing key and value heads. This division enhances processing efficiency, making LLaMA 2 more efficient in handling attention mechanisms.