now we've you know been able to add a second image and we can learn some different things that will hopefully allow us to jump to a third image and a fourth image and so on so yeah we just keep training for a bit and then the model becomes confident about the next image and you see like this process proceeds iteratively okay so results like I said are impressive what you can do with this so with forty labels they had an error rate of thirteen point eight one so like 86 percent accuracy and and and the error rate that I mentioned at the start of