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Article

Optimizing Large Language Model Scaling with Micro Batch Pipeline and Inference Parallelism

2024-06-14

Abstract excerpt

<title>Abstract</title> <p>Natural language processing has seen transformative progress with the development of sophisticated models capable of generating and understanding human language with high accuracy. The novel concept of integrating micro batch pipeline and inference parallelism represents a significant leap in optimizing the scalability and efficiency of these models. Through comprehensive experimentatio...

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Literature Corpus work
82b59d87-3b5f-5510-980d-d43e9dc2f015
DOI
10.21203/rs.3.rs-4575587/v1
Open publication

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Optimizing Large Language Model Scaling with Micro Batch Pipeline and Inference ParallelismDOI 10.21203/rs.3.rs-4575587/v1
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