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EKOAHAM ResearchVol. 7, Issue 2
Iterative Degradation of Large Language Models Under Synthetic Data Feedback: A Systematic Review of Model Collapse Mechanisms and Mitigation Approaches
Summary — Executive Summary AI-generated data in training sets can induce gradual “degradation” of model performance. In this report we define degradation in terms of measurable metrics (perplexity, accuracy on benchma…
ekoahamdutivnasti 16 min read