Ask HN: How can political bias across LLMs be factored? Political bias is measurable and significant across models(and probably changing over time for closed-sourced). In search of objectivity, what are the best ways to account for this abstraction(s)? |
the results are not free of political bias, but may well highlight it in a starkly hilarious way.
you might do human training at that level but then you've only created a newly biased model.
LLMs are text tokenizers, if the majority of it's training material leans liberal or conservative then the output should reflect that. I think a better idea is to avoid relying on glorified autocorrect for anything related to political drama.
you just did.