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Role of Feature Projection in Attention Normalization
In a variant of the attention mechanism, query and key vectors are first projected into a new feature space before their interaction is computed. Explain the relationship between this initial projection and the subsequent use of a simple scaling normalization instead of the standard row-wise normalization function.
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Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
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Empirical Science
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In a modified attention mechanism designed for computational efficiency, the query and key vectors are transformed using a feature map projection. What is the primary reason for this transformation in the context of calculating the final attention output?
Role of Feature Projection in Attention Normalization
An engineer is optimizing a language model to handle very long text sequences, such as entire books. They decide to replace the standard attention mechanism with one that projects query and key vectors into a different feature space. This change allows them to substitute the original, complex normalization function with a much simpler scaling operation. What is the fundamental trade-off associated with this specific modification?