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Clearly, attention really is all you need. Are GPU vendors (well, gpu vendor, as far as I can tell) focusing heavily on increasing VRAM? My understanding is th
by mlsu 4y ago
Clearly, attention really is all you need.
Are GPU vendors (well, gpu vendor, as far as I can tell) focusing heavily on increasing VRAM? My understanding is that transformers are pretty quick to train, but have significant memory costs.
When they say that video is infeasible with memory... does that mean that if we had enough memory (128? 256? gb) we would be able to realistically train such networks with temporal attention?
This is insanely exciting. It looks like we are limited, at this point, only by compute.
- sdenton4 4y agoWell, attention and aligned text+image datasets and diffusion processes... (and a fanatical devotion to the pope.)