Data Curation

How to Prevent AI Model Collapse

Generative AI models can suffer from 'model collapse' when recursively trained on synthetic data, leading to a loss of diversity and flawed outputs. The article outlines proactive mitigation strategies, including data curation and training oversight, to maintain model integrity.