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Study finds LLMs can identify their own mistakes venturebeat.com/ai/study-finds… #AI #hallucinations
Text Shot: The study’s findings can help design better hallucination mitigation systems. However, the techniques it uses require access to internal LLM representations, which is mainly feasible with open-source models.  The findings, however, have broader implications for the field. The insights gained from analyzing internal activations can help develop more effective error detection and mitigation techniques.

Study finds LLMs can identify their own mistakes

It turns out that LLMs encode quite a bit of knowledge about the truthfulness of their answers, even when they give the wrong one.
Ben Dickson (VentureBeat)
#ai #hallucinations

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