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model collapse

American  
[mah-duhl kuh-laps] / ˈmɑ dəl kəˌlæps /

noun

  1. poor-quality output by a generative AI as a result of being trained on data that is itself generated by AI.


Example Sentences

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See Examples For:

LLMs that eat too much of their own cooking are prone to model collapse, a symptom of the curse of recursion.

From Slate ● Aug. 24, 2023

Because these tails include data that are further from the “norm,” a model collapse could cause the AI’s output to lose the diversity that researchers say is distinctive about human data.

From Scientific American ● Jul. 28, 2023

It’s possible that larger models will prove more resistant to model collapse, but researchers say there is little reason to believe so.

From Scientific American ● Jul. 28, 2023

Against the threat of model collapse, what is a hapless machine-learning engineer to do?

From Scientific American ● Jul. 28, 2023

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