Muon outperforms every optimizer we tested (AdamW, SOAP, MAGMA). Multi-epoch training matters. And following work by Kotha et al. , scaling to large parameter counts works if you pair it with aggressive regularization -- weight decay up to 16x standard, plus dropout. The baseline sits at ~2.4x data efficiency against modded-nanogpt.
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最新消息显示，X300 Ultra 融合了 vivo 在移动影像与视频技术方面的前沿探索成果，是 vivo 多年来深耕光学工程、计算摄影与系统级优化的集大成之作。