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Cerebras Systems (United States)

1 paper here26 citations across 1
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  • cs.CL1
ROR 040zz8080OpenAlex

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most citedHow fine can fine-tuning be? Learning efficient language models

26 citations

researchers with a paper here
  • Evani Radiya-Dixit1
  • Xin Wang1
collaborating institutions
  • Stanford UniversityUS1 paper

1 paper

cs.CL2020★ 26 cited

How fine can fine-tuning be? Learning efficient language models

Evani Radiya-Dixit, Xin Wang

State-of-the-art performance on language understanding tasks is now achieved with increasingly large networks; the current record holder has billions of parameters. Given a languag…

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