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Related Questions
- What are some efficient methods to reduce the spatial dimensionality of query and key vectors in attention mechanisms?
- How does using a learned linear or projection layer affect the dimensional reduction of query and value vectors?
- In multi-head attention, is it possible to reduce dimensionality using a shared transformer layer for all attention heads?
- What benefits can be achieved by normalizing the query and value vectors before applying dimension reduction techniques?
- Does dimensionality reduction in key and value vectors impact attention performance when dealing with smaller sequence lengths?
- What are some techniques used in industry to reduce model complexity while maintaining performance such as knowledge distillation?
- Can dimensionality reduction techniques be applied to a subword-level attention-based architecture to improve efficiency while preserving accuracy?
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