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This paper proposes a sophisticated architecture that mitigates challenges of recurrent matrix multiplications by decomposing A-multiplications into numerous groups and optimizing positional encoding through Grouped Finite Impulse Response (FIR) filtering, and incorporates an analogous system to improve The steadiness and performance of the product