quickly is kind of comparable to how word Tyvek works where the language model tries to predict them some missing words from a document and in that's enough for it to understand how to build a supervised model using vast quantities of text without any effort to label them Ellis team still has its place in particular if the sequence length is very long or infinite you can't do n squared right and that happens if you're doing real time control like for a robot or a thermostat or something like that you can't have the entire sequence and for