Preventing model collapse costs 13-28x more fresh data than curing it
If you train on your own output, you have probably read a number for "how much fresh data you need". The published range is roughly 1 % to 30 %. That spread is usually read as disagreement — one of those numbers must be wrong. I spent a week reproducing a paper that argues something different: the…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-10-18 08:45 · DEV Community — Machine Learning
Preventing model collapse costs 13-28x more fresh data than curing it