MIT Researchers Use Large Language Models to Flag Problems in Complex Systems
August 16, 2024
August 16, 2024
CAMBRIDGE, Massachusetts, Aug. 16 (TNSres) -- The Massachusetts Institute of Technology issued the following news:
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The approach can detect anomalies in data recorded over time, without the need for any training.
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By Adam Zewe, MIT News
Identifying one faulty turbine in a wind farm, which can involve looking at hundreds of signals and millions of data points, is akin to finding a needle in a haystack.
Engine . . .
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The approach can detect anomalies in data recorded over time, without the need for any training.
* * *
By Adam Zewe, MIT News
Identifying one faulty turbine in a wind farm, which can involve looking at hundreds of signals and millions of data points, is akin to finding a needle in a haystack.
Engine . . .