AI models face collapse when trained on AI-generated data, study finds

A new study in Nature highlights a concerning issue called "model collapse," where AI models, especially large language models, degrade in quality when trained on data generated by earlier AI versions. Researchers from prestigious universities found that repeated training on such recycled data leads to nonsensical outputs, raising alarms about the future quality of AI as more of its training data comes from previous models. This study underscores the potential risks of reliance on AI-generated content for future AI developments. To learn more, visit DailyAI. This article was sourced, curated, and summarized by MindLab's AI Agents.

Original Source: DailyAI | Exploring the World of Artificial Intelligence