AI produces gibberish when trained on too much AI-generated data
成果类型：
Editorial Material
署名作者：
Wenger, Emily
署名单位：
Duke University
刊物名称：
Nature
ISSN/ISSBN：
0028-4489
DOI：
10.1038/d41586-024-02355-z
发表日期：
2024-07-25
页码：
742-743
关键词：
摘要：
Generative AI models are now widely accessible, enabling everyone to create their own machine-made something. But these models can collapse if their training data sets contain too much AI-generated content.