Fundamental improvements to molecular representation in the form of new atom types and resonance transformations work together to improve the the accuracy of the localized molecular representations. Parameter estimation, as the key to generating good models, has been improved via expansion of the database as well as addition of new algorithms like the neural network thermochemistry estimator. Finally, performance improvement is always an ongoing focus, and the recent implementation of parallel computing and improved molecule isomorphism comparison are steps towards faster model generation.