Large language models and the emergence phenomena

Vera Sorin*, Eyal Klang

*Corresponding author for this work

Research output: Contribution to journalLetterpeer-review

10 Scopus citations

Abstract

This perspective explores the potential of emergence phenomena in large language models (LLMs) to transform data management and analysis in radiology. We provide a concise explanation of LLMs, define the concept of emergence in machine learning, offer examples of potential applications within the radiology field, and discuss risks and limitations. Our goal is to encourage radiologists to recognize and prepare for the impact this technology may have on radiology and medicine in the near future.

Original languageEnglish
Article number100494
JournalEuropean Journal of Radiology Open
Volume10
DOIs
StatePublished - Jan 2023

Keywords

  • ChatGPT
  • Emergence
  • Generative models
  • LLMs

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