Baobao Algorithm Notes

May 12, 2025 · Artificial Intelligence

Why Dropout Is Dropped in Large‑Scale Model Training: Effects, Efficiency, Stability

Training massive AI models now commonly omits dropout because its original scaling trick fails to match training and inference distributions, leading to poorer performance, higher computational cost, and instability, while alternative regularization like normalization remains useful, as illustrated by practical observations and historical tricks.