What if it's LLMs all the way down?
Researchers in computing and linguistics have devised a new way to detect errors in large language models, which relies on employing more LLMs.
The study sought to address a subset of hallucinations known as confabulations, output that can be inaccurate and arbitrary, which the researchers say is down to a"lack of knowledge." "However, it is clear that these models perform well in a range of complex language-processing tasks that involve some comprehension."
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