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Podcast: Arxiv Papers
Episode: [QA] Practical Efficiency of Muon for Pretraining
Description: Muon outperforms AdamW in expanding the Pareto frontier for compute-time tradeoff, enhancing data efficiency at large batch sizes while enabling economical training through effective hyperparameter transfer.https://arxiv.org/abs//2505.02222YouTube: https://www.youtube.com/@ArxivPapersTikTok: https://www.tiktok.com/@arxiv_papersApple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers