> That's very ignorant to say that attention or convolution is anywhere close to the expressivity of RNNs(LSTM).
But that's exactly the point of the Transformer model, with a paper aptly titled "Attention is all you need" [1]. And the Bert architecture, based in this idea, seems to be doing well. And they claim to be bery flexible, too[2].
Maybe that's what you meant with "unless you brutely search over hundreds of hyperparameters configs", but then again, isn't that what NNs are about anyway?
But that's exactly the point of the Transformer model, with a paper aptly titled "Attention is all you need" [1]. And the Bert architecture, based in this idea, seems to be doing well. And they claim to be bery flexible, too[2].
Maybe that's what you meant with "unless you brutely search over hundreds of hyperparameters configs", but then again, isn't that what NNs are about anyway?
[1] https://arxiv.org/abs/1706.03762
[2] https://arxiv.org/abs/1810.04805