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AI models feeding on AI data will lead to 'model collapse', researchers say (web.archive.org)

submitted 1 year ago by 0x815@feddit.de to c/technology@beehaw.org

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Using model-generated content in training causes irreversible defects, a team of researchers says. "The tails of the original content distribution disappears," writes co-author Ross Anderson from the University of Cambridge in a blog post. "Within a few generations, text becomes garbage, as Gaussian distributions converge and may even become delta functions."

Here's is the study: http://web.archive.org/web/20230614184632/https://arxiv.org/abs/2305.17493

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[–] Kerb@discuss.tchncs.de 2 points 1 year ago

Afaik, there are already solution to that.

You first train the data on the outdated but correct data, to establish the correct "thought" patterns.

And then you can train the ai on the fresh but flawed data, without tripping about the mistakes.