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it makes you wonder if it may be more efficient to spend all the weights on one layer, and have a repeating stack of the same layer, one would presume this axis has already been explored with metaparameter sweeps?


That's called a recurrent neural network (RNN).


distinction is that GPT allows a lot of parallel computation compared to RNN, but I see how your remark indicates a convergence towards RNNs indeed.




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