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As it said in the origin paper: "Token Shift allows the model to learn how much new versus old information should be allocated per time step to each channel of receptance, key, value, and gate vectors (r , k, v, and g respectively) independently and uniquely for each head. "
How to understand 'Token Shift' here?
The text was updated successfully, but these errors were encountered:
As it said in the origin paper: "Token Shift allows the model to learn how much new versus old information should be allocated per time step to each channel of receptance, key, value, and gate vectors (r , k, v, and g respectively) independently and uniquely for each head. "
How to understand 'Token Shift' here?
The text was updated successfully, but these errors were encountered: