Transformers are very close to some types of feed forward networks. The difference is that transformers can be trained in parallel without the need for auto-regression (which is slow, for training, but kind of nice for streaming , low-latency inference). It's a mathematical trick. RWKV makes it obvious.
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Transformers are very close to some types of feed forward networks. The difference is that transformers can be trained in parallel without the need for auto-regression (which is slow, for training, but kind of nice for streaming , low-latency inference). It's a mathematical trick. RWKV makes it obvious.