through this pseudo labeling process we then train our model on the full data set which is now comprised of both the data that was actually truly labeled along with the data that was pseudo labeled through the use of pseudo labeling were able to train on a vastly larger data set we're also able to train on data that otherwise may have potentially taken many tedious hours of human labor to manually label the data as you can imagine sometimes the cost of acquiring or generating a fully label data set is just too high or the pure