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DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
DeepSpeed-Ulysses is a methodology for efficient and scalable training of large language models with long sequences. It uses sequence parallelism and efficient communication to achieve faster training with longer sequences compared to existing methods.
https://arxiv.org/abs//2309.14509
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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By Igor Melnyk
5
33 ratings
DeepSpeed-Ulysses is a methodology for efficient and scalable training of large language models with long sequences. It uses sequence parallelism and efficient communication to achieve faster training with longer sequences compared to existing methods.
https://arxiv.org/abs//2309.14509
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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