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LLMs or Naive Bayes? Old Gems or New Ways

Sada, Mohammad Firas et al.
arXiv (OAI Expanded) · Papers
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and-cluster-computingartificial-intelligencec-4computation-and-languagedistributedi-2-7machine-learningparallel
Large language models (LLMs) prompt a recurring question in research computing: should classical methods like Naive Bayes (NB) be retired? We benchmark Complement Naive Bayes against zero-shot and few-shot LLMs spanning four model families and a 37x range in scale (27B to a 1T-parameter mixture-of-e
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