hallucination problem essentially solved as vectara benchmark reveals 98.7 percent accuracy
first, notice how many of the top ais achieve an accuracy of over 98%.
https://github.com/vectara/hallucination-leaderboard
why is this so important? because humans also make mistakes, and we shouldn't be surprised that we make more of them than these top ais.
for example, one study found that:
"[An] AI diagnostic system achieved an 80% accuracy rate overall and a 98% accuracy rate for common primary care conditions. In comparison, physicians scored between 64% and 94%, with some as low as 52% for these conditions."
of course what the vectara benchmark needs to make it operationally useful to enterprise is the comparable human error rate for the tests it measures.
what this benchmark reveals, however, is that ai agents can now probably outperform lawyers, accountants, financial analysts and other knowledge workers across a wide spectrum of occupations.
given that in most cases ais perform their operations at a fraction of the time that it takes humans, we can expect an explosion of startups this year that offer alternative knowledge services at a fraction of the cost. this is especially true for the legal profession that charges for billable hours.
first, notice how many of the top ais achieve an accuracy of over 98%.
https://github.com/vectara/hallucination-leaderboard
why is this so important? because humans also make mistakes, and we shouldn't be surprised that we make more of them than these top ais.
for example, one study found that:
"[An] AI diagnostic system achieved an 80% accuracy rate overall and a 98% accuracy rate for common primary care conditions. In comparison, physicians scored between 64% and 94%, with some as low as 52% for these conditions."
of course what the vectara benchmark needs to make it operationally useful to enterprise is the comparable human error rate for the tests it measures.
what this benchmark reveals, however, is that ai agents can now probably outperform lawyers, accountants, financial analysts and other knowledge workers across a wide spectrum of occupations.
given that in most cases ais perform their operations at a fraction of the time that it takes humans, we can expect an explosion of startups this year that offer alternative knowledge services at a fraction of the cost. this is especially true for the legal profession that charges for billable hours.