PRODUCING CALIBRATED CONFIDENCE ESTIMATES FOR OPEN-ENDED ANSWERS BY GENERATIVE ARTIFICIAL INTELLIGENCE MODELS
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United States of America
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Issued Date -
Mar 6, 2025
app pub date -
Oct 20, 2023
filing date -
Oct 20, 2023
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Abstract
A confidence estimation tool uses a calibrated confidence mapping model to estimate confidence for a model-generated candidate root cause. The tool uses a generative artificial intelligence (“AI”) model to determine, based on a description of a current event, a candidate root cause of the current event. The tool determines a description-based confidence score using the description of the current event and descriptions of a set of relevant historical events in a target domain. The tool also determines a cause-based confidence score using the candidate root cause of the current event and root causes of the set of relevant historical events. Finally, the tool determines a final confidence score using the description-based and cause-based confidence scores. Even if the generative AI model is configured for general-domain applications, by referencing relevant historical events, the tool can accurately estimate confidence for a model-generated candidate root cause within the target domain.
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