of semi-supervised learning ok this is slightly different from what NLP does and as I said in NLP usually assume you have different data sets the large one being the different distribution and in this semi-supervised regime you often assume that it is actually the same data distribution but you only have labels for some of them but there should be a fair bit of overlap between the two things so oh I've recently made a video about open a eyes image GPT that kind of goes into the into the same direction as this work right here that basically says