A new study explores how human confidence in large language models (LLMs) often surpasses their actual accuracy. It highlights the 'calibration gap' - the difference between what LLMs know and what users think they know.
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#LanguageModels #AIConfidence #CalibrationGap #MachineLearning #DataAccuracy
Read Full Article
#LanguageModels #AIConfidence #CalibrationGap #MachineLearning #DataAccuracy
Nature
What large language models know and what people think they know
Nature Machine Intelligence - Understanding how people perceive and interpret uncertainty from large language models (LLMs) is crucial, as users often overestimate LLM accuracy, especially with...
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