Model Collapse and the Provenance Problem
中文摘要
AI模型面临“模型崩溃”与溯源问题：使用大量AI生成数据进行训练，可能会导致模型性能退化。
English Summary
AI models face "model collapse" and provenance issues, where training on massive amounts of AI-generated data can cause significant performance degradation.
Original Excerpt
Most contemporary consumer-grade AI systems are, to be precise, Multimodal Large Language Models that are trained on gargantuan amounts of… Continue reading on Medium »