An enduring problem with today's generative artificial intelligence (AI) tools is confidently asserting false information, known as hallucination, posing a major obstacle to AI's utility.
New research published in Nature introduces a method detecting AI hallucinations, distinguishing correct from incorrect answers 79% of the time, promising higher accuracy compared to other methods.
Collection
[
|
...
]