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This paper proposes a complicated architecture that mitigates challenges of recurrent matrix multiplications by decomposing A-multiplications into numerous groups and optimizing positional encoding as a result of Grouped Finite Impulse Reaction (FIR) filtering, and incorporates the same system to boost the stability and efficiency in the model over