AttentionQKV
Attention QKV (QKV stands for Queries, Keys, and Values) is a variation of self-attention mechanism, a key component of transformer models. In standard self-attention, queries, keys, and values are typically learned as different projections of the same input embedding space, using a specific linear transformation for each. However, in Attention QKV, the queries, keys, and values are dissociated from each other, projecting onto three separate embedding spaces.
This approach differs significantly from the traditional self-attention mechanism where the queries, keys, and values are
The attention QKV mechanism is part of the transformer architecture modifications that seek to improve the
The development of Attention QKV can be understood as a continued effort to fine-tune the performance of