Re:CoLT5: Faster Long-Range Transformers With Conditional Co...
by thesunkid on Monday March 20, 2023 @07:42PM
(#35240507)
Dynamic Transformer-layers allocation per step is intuitively and computationally appealing. Can't believe this idea has been under-explored for years.
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Re:CoLT5: Faster Long-Range Transformers With Conditional Co...
by f_devd on Monday March 20, 2023 @08:33PM
(#35240930)
This still isn't technically dynamic allocation since it always takes a top-k (constant k) tokens from the sequence, so more like dynamic routing, which was explored in Mixture-of-Expert models but only in Feed-Forward blocks and with a different routing scheme.
Re:CoLT5: Faster Long-Range Transformers With Conditional Co...
by voxgen on Thursday March 23, 2023 @04:23PM
(#35280802)
One can also make a model to learn the necessary context length for each layer and head to save a huge amount of FLOPs: https://arxiv.org/abs/1905.07799