Chain of Thought Utilization in Large Language Models and Application in Nephrology

Chain of Thought Utilization in Large Language Models and Application in Nephrology

Chain-of-thought prompting enhances the abilities of large language models (LLMs) significantly. It not only makes these models more specific and context-aware but also impacts the wider field of artificial intelligence (AI). This approach broadens the usability of AI, increases its efficiency, and...

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Bibliographic Details
Main Authors: Jing Miao, Charat Thongprayoon, Supawadee Suppadungsuk, Pajaree Krisanapan, Yeshwanter Radhakrishnan, Wisit Cheungpasitporn
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Medicina
Subjects:
artificial intelligence
chain-of-thought prompting
large language models (LLMs)
enhanced care
nephrology
decision-making process
Online Access:https://www.mdpi.com/1648-9144/60/1/148

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https://www.mdpi.com/1648-9144/60/1/148

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