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There are studies that look deeper into model collapse in various AI models and demonstrate some interesting results. In this one, there is an example of how model degrades over generations. I think the model presented here is the one used at Meta, but with a smaller number of parameters.
Example 1. Example of text outputs of an OPT-125m model affected by model collapse—models degrade over generations, for which each new generation is trained on data produced by the previous generation.
• Input: some started before 1360 — was typically accomplished by a master mason and a small team of itinerant masons, supplemented by local parish labourers, according to Poyntz Wright. But other authors reject this model, suggesting instead that leading architects designed the parish church towers based on early examples of Perpendicular.
• Outputs: