One promising strategy involves the careful re-parametrization of these methods to better align with reference calculations at higher levels of theory, particularly for specific reaction types and/or molecular systems. On the other hand, traditional parametrization techniques typically use large, general-purpose data sets and local optimization algorithms. Though effective, these approaches are computationally expensive and often lack the specificity required to model complex enzymatic systems.