The data labeling objection baffles me. Even if you don’t need labels for training, how do you know your model is working if you’re not evaluating it?

My company specializes in statistical long document text classification, but nowadays we mainly work with audit trail requirements because we got tired of hearing complaints about our 5 example learning curve. Seems like the industry standard is telling an llm to label and telling an llm to eval, and crossing your fingers that it’s correct.