Grouped Query Attention
Noun · AI & Machine Learning
Definitions
An attention variant where multiple query heads share key and value heads, reducing memory bandwidth and improving inference efficiency.
In plain English: A more efficient attention method that shares some internal parts to save compute.
Example: "Grouped query attention helped the model run faster without a huge quality drop."