It is important to note that the accuracy of mbGDML is generally limited to that of the underlying MBE framework. More extensive and diverse n-body data sets can help minimize mbGDML deviations from the MBE reference. If further accuracy improvements are desired, explicit 4-body ML force fields, classical models, or hybrid methods like MIM and MTA could be required. While these approaches are certainly possible to implement, we focused on providing a proof-of-concept of mbGDML. We thus anticipate promising applications for complex, explicitly solvated systems where high levels of theory are desired.