Hmm, I'm not suggesting training a smaller model from scratch - in most cases you'd want to finetune a pretrained model (aka, transfer learning) for your specific usecase/problem domain.
The need for labeled data for any kind of training is a constant though :)
The need for labeled data for any kind of training is a constant though :)