Before revision:  If it achieves unsatisfactory performance, how do we solve the problem without re-training the model on the entire data from scratch , which would become prohibitively expensive in practice as the data volumes grow ?
After revision:  If it achieves unsatisfactory performance, how do we solve the problem without re-training the model on the entire data from scratch ?