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Training Variable Long Sequences with Data-Centric Parallel

Source
Geng Zhang, Xuanlei Zhao, Kai Wang, Yang You
Author
Geng Zhang, Xuanlei Zhao, Kai Wang, Yang You
Date
Terms in this piece · Glossary
  • fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.
Why it matters

Teams or training on variable-length data get a low-friction way to recover throughput lost to static parallel configurations and workload imbalance.

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