In the realm of NLP, there are some companies that offer a human in the loop service. So to the outside, they offer human quality results. And on the inside, they use their machine learning technology, supervised by humans. One way to do it, I guess, is to especially watch the results where the model is least confident. And of course, you feed back all of these corrections back into the model, so it becomes better over time.