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Researchers propose infinite-parameter LLMs that adapt weights from live data

Researchers publish paper on infinite-parameter LLMs with live data adaptation

1 Sep 17 12:00 AM · 9d ago · 1 article · 1 source · development 1 of 2

Hu, Clarke, Zhang, and Hernández-Lobato release a paper on arXiv titled "Infinite-Parameter LLMs: Generating and Adapting Weights from Live Data." The abstract describes moving beyond static pretraining to allow deployed models to adapt using data not in their training set, extending principles of Mixture-of-Experts architectures.

Jinli Hu Paper authorRoss M. Clarke Paper authorYichuan Zhang Paper authorJosé Miguel Hernández-Lobato Paper author

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What was reported 1 claim about this development

  1. 2 outlets Infinite-Parameter LLMs: Generating and Adapting Weights from Live Data

    first by arXiv cs.AI, 3d ago · also HN Frontpage

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