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Transformers solve these using attention (for alignment), MLPs (for arithmetic), and autoregressive generation (for carry propagation). The question is how small the architecture can be while still implementing all three.
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Speed is fantastic, but not if it means sacrificing the features OsmAnd users rely on. This is where our Secret Sauce #2 comes into play – ensuring HH-Routing remains incredibly flexible and dynamic:
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