I am asking a group of scientists who should be very well-versed in statistics and weights, you know, one of the biggest components in a machine learning model, to account for how biased their data is when engineering their model.
It's really not a hard ask.
I already said it: bias. It's a common problem with LLMs and other machine learning models that model engineers need to watch out for.