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Query-Key-Value Attention Output Matrix Product
The output of the Query-Key-Value (QKV) attention mechanism can be computed as the product of the attention weight matrix, denoted as , and the value matrix, . This matrix multiplication relationship is expressed by the formula:
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Foundations of Large Language Models
Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
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Causal Attention Weight Matrix Calculation
An attention mechanism processes the input sequence:
['The', 'robot', 'grasped', 'the', 'wrench']. The attention weight matrix is calculated to determine the contextual importance of each word. The row in the matrix corresponding to the word 'grasped' has the highest weight value in the column corresponding to the word 'wrench'. What does this high weight signify?Interpreting an Attention Weight Matrix
In an attention mechanism processing a sequence of
mitems, anm x mattention weight matrix is generated. What does thei-th row of this matrix fundamentally represent?Query-Key-Value Attention Output Matrix Product