Grouped Query Attention

Noun · AI & Machine Learning

Definitions

  1. 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."

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