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New chip uses Al to shrink large language models' energy footprint by 50%

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Abstract

Researchers have developed a more efficient chip as an antidote to the vast amounts of electricity consumed by large-language-model artificial intelligence applications like Gemini and GPT-4.
Key Data

  • Publication Date
    08 May 2025
  • Primary Author
    Oregon State University
  • Source
    ScienceDaily
  • Language
    English
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