Yeah. Yeah. OK. So , alright. So this is uh step two. So the next possibility is that um we 've given just a single weight to each expert , right , whereas it might be the case that um in certain situations one of the experts is more uh reliable and in certain situations the other expert is more reliable. So the way this is handled is by what 's called a mixture of experts , so what you can have is you augment these diagrams like this so you have a new thing called " H " , OK ? This is a hidden variable. And what this is is it gets its input from X - one , X - two , X - three , and X - four , and what it does is it decides which of the experts is to be trusted in this particular situation. Right ? And then these guys all come here. OK. So this is sightly uh more complicated. So what 's going on is that um this H node looks at these four values of those guys and it decides in given these values which of these isn't likely to be more reliable or most reliable. So H produces some you know , it produces a number , either one , two , three , or four , in our situation , right ? Now this guy he looks at the value of H say it 's two , and then he just selects the uh thing. That 's all there is to say , I guess about it. Right , so you can have a mixture that
Mm - hmm.
Right.
So  so the function of the thing that comes out of H is very different from the function of the other inputs. It 's driving how the other four are interpreted. OK.