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Motivation for Sequence Parallelism
Although sequence parallelism is primarily focused on handling long sequence modeling, much of its fundamental motivation stems from the distributed training methods used for deep networks. Because of this shared foundation, the implementation of sequence parallelism can often be built upon the same parallel processing libraries that were designed for distributed training.
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Foundations of Large Language Models
Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
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Motivation for Sequence Parallelism