I'm arriving at the conclusion that deployments of LLMs is most suitable in areas where the cost of false positives and, crucially, false negatives are low.
If you cannot tolerate false negatives I don't see how you get around the inaccuracy of LLMs. As long as you can spot false positives and their rate is sufficiently low they are merely an annoyance.
I think this is a good consideration before starting a project leveraging LLMs
If you cannot tolerate false negatives I don't see how you get around the inaccuracy of LLMs. As long as you can spot false positives and their rate is sufficiently low they are merely an annoyance.
I think this is a good consideration before starting a project leveraging LLMs