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This paper proposes a sophisticated architecture that mitigates worries of recurrent matrix multiplications by decomposing A-multiplications into several teams and optimizing positional encoding by Grouped Finite Impulse Response (FIR) filtering, and incorporates an identical system to boost The soundness and general performance of the model around