In summary, the results that have been presented here have demonstrated the efficiency and viability of using a Directed Graph Attention neTworks (D-GATs) to predict parameters for the General AMBER Force Field (GAFF). The proposed parameterization approach offered several advantages. First, thanks to its low computational cost and O(N ) complexity, GB-FFs can assign parameters of molecules encompassing hundreds of atoms, within a few hundredths of a second. This enables the simultaneous and self-consistent parameterization of small molecules and biomolecular systems, eliminating the need for multiple distinct methodologies. Additionally, the automated workflow can leverage large databases which could further enhance the development of FFs.