David Shapiro here with your daily state of the industry update. Hydra attention, efficient attention with many heads.
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It goes beyond the title with direct discussion of attention, hydra, like, including: As often happens, my newsfeed helpfully handed me this this morning.
Key takeaways
01But anyways, we present our final accuracy and flop count using Hydra in tab 2 compared to standard OT, et cetera, et cetera, and other OTD methods on ImageNet 1K, Hydra attention
02And when replacing fewer layers, Hydra attention can strictly outperform the baseline standard attention model
03To explore whether Hydra attention retains these gains with more tokens in tab three, we fine-tune the backwards replacement model from figure four at 38, 384 pixel resolution for
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