Crowdsourcing with Enhanced Data Quality Assurance: An Efficient Approach to Mitigate Resource Scarcity Challenges in Training Large Language Models for Healthcare

Large Language Models (LLMs) have demonstrated immense potential in artificial intelligence across various domains, including healthcare. However, their efficacy is hindered by the need for high-quality labeled data, which is often expensive and time-consuming to create, particularly in low-resource...

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Veröffentlicht in:	AMIA Summits on Translational Science proceedings 2024, Vol.2024, p.75-84
Hauptverfasser:	Barai, Prosanta, Leroy, Gondy, Bisht, Prakash, Rothman, Joshua M, Lee, Sumi, Andrews, Jennifer, Rice, Sydney A, Ahmed, Arif
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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