Puzzle Solution Revealed - Transformer: Need for Position Embedding

Automated excerpt

But the hand-construction allows us to see why those blocks and connections exist and how they are helpful to have. position_start, L = 9, 6 # position one-hot occupies 9 .. 14 slot_names = {v: k for k, v in idx. items()} slot_names. update({position_start + p: f"pos{p}" for p in range(L)}) "he-is? ": [0, 0, 0, 0, 0, 0, 0, 1, 0], he-is? tensor([0, 0, 0, 0, 0, 0, 0, 1, 0]) sentence = ["Crow", "disobeys", "keep-flight", "swap-speech", "he-is? "] Crow tensor([1. , 0. , 0. , 0. , 1. , 0. , 0. , 0. , 0. ]) tensor([1.

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