Accuracy
New method could separate AI fact from fiction
New method could separate AI fact from fiction A new method developed by Michigan State University researchers aims to increase the reliability of AI information by creating a “trust meter” that reports the accuracy of information produced from large language models (LLMs). The method, called Calibrating LLM Confidence by Probing Perturbed Representation Stability (CCPS), applies […]
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