Machinelearning, Optimization, Datascaling, AI, Training.
grow larger, the amount of training data required to fully utilize the model’s capacity increases as well. Conversely, if the training data is limited, it is more efficient to train smaller models to avoid wasting computational resources on parameters that cannot be effectively learned from the