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Study finds LLMs close the gap on power outage prediction without training data

Covered the study's release

A preprint posted September 2 asked whether an off-the-shelf language model, trained on no utility data at all, can predict which storms cause the worst power outages. Four zero-shot LLMs were benchmarked against two supervised machine learning models on six years of central Texas outage records.

Updated 1 hour ago