The Synthetic Data Trap: Can AI Models Learn Themselves Into Failure?
中文摘要
AI模型是否会因过度依赖合成数据进行训练，从而陷入性能退化并导致失败的“合成数据陷阱”？
English Summary
Can AI models fail by training on synthetic data, potentially leading to a cycle of model degradation?
Original Excerpt
Artificial Intelligence is advancing at a remarkable pace. Continue reading on Medium »