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
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#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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A new way of estimating rural populations has found that we may be undercounting people who live in these areas, potentially inflating the global population beyond the official count of 8.2 billion
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#RuralPopulation #DataAccuracy #GlobalPopulation #CensusChallenge #UndercountIssue
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#RuralPopulation #DataAccuracy #GlobalPopulation #CensusChallenge #UndercountIssue
New Scientist
Have we vastly underestimated the total number of people on Earth? | New Scientist
A new way of estimating rural populations has found that we may be undercounting people who live in these areas, potentially inflating the global population beyond the official count of 8.2 billion – but not everyone agrees
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