AI
AI Model collapse is happening now, not later: what your data filtering strategy should be
Three years ago, I spent six weeks analyzing a production language model at scale. The model was performing exactly as expected on benchmarks. On MMLU (a standard reasoning test), it achieved 86% accuracy. On proprietary internal datasets, the numbers looked even better: 92% on customer service queries, 89% on technical documentation classification. But there was […]
