Stylistically inconsistent training data can prevent a model from developing a distinct, consistent voice or brand.

“And if they are stylistically inconsistent, then the model, um, doesn't have its own, own brand. And we had to do a lot of work, uh, across whole this period to, to just make sure that the data is stylistically consistent.”