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Introducing a single human-made data point can prevent AI models from cannibalizing themselves
Researchers have found that introducing human-made data into AI training can help to prevent AI model collapse.
New work explaining the inner workings of artificial intelligence could provide a way around the threat of AI "model collapse," potentially averting growing numbers of AI hallucinations in the future.
To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...
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