This paper was accepted at WMT convention at EMNLP.
The Transformer structure has two major non-embedding parts: Consideration and the Feed Ahead Community (FFN). Consideration captures interdependencies between phrases no matter their place, whereas the FFN non-linearly transforms every enter token independently. On this work, we discover the function of FFN and discover that regardless of, and discover that regardless of taking on a big fraction of the mannequin’s parameters, it’s extremely redundant. Concretely, we’re capable of considerably cut back the variety of parameters with solely a modest drop in accuracy by…
One Vast Feedforward is All You Want
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