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Re:Ask HN: Can someone ELI5 Transformers and the “Attention ... by throwawaymaths on Wednesday May 17, 2023 @02:52PM (#35979595)
In my screed, N is the attention width. (How many token it looks at at a time) number of parameters is O(KxNxNxL) where k is the vector size of your tokens, and l is the # of layers. There are other parameters floating around, like in the encoder and decoder matrices, but the NXN matrix dominates.
Re:Ask HN: Can someone ELI5 Transformers and the “Attention ... by 8thcross on Wednesday May 17, 2023 @03:33PM (#35980107)
This is an awesome explanation. You guys are the real heroes