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Do transformers need three projections? Systematic study of QKV variants
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Transformers utilize a query, key, and value (QKV) attention formulation that is crucial for AI tasks. The study investigates the individual contributions of these three projections and the effects of omitting any of them.
Summary from arxiv.org.
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Hacker News · arxiv.org
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- Praise: The exploration of QKV variants through ablation studies is valuable, as it can lead to insights on model simplifications that may benefit hardware-constrained environments.
- Praise: The discussion around the correlation between performance and sequence lengths for the Q-K=V model highlights important considerations for future research in transformer architectures.
- Concern: The limited training data of 10B tokens for a 1.2B model raises concerns about the generalizability of the findings, especially when compared to modern models trained on significantly larger datasets.
- Concern: Confusing notation in the paper detracts from the clarity of the research, potentially hindering understanding and application of the proposed concepts.