ChatGPT 和生成式人工智能正在科学界掀起一场革命:雅努斯式难题

IF 23.7 Q1 MICROBIOLOGY
iMeta Pub Date : 2024-02-27 DOI:10.1002/imt2.178
Zhongji Pu, Chun-Lin Shi, Che Ok Jeon, Jingyuan Fu, Shuang-Jiang Liu, Canhui Lan, Yanlai Yao, Yong-Xin Liu, Baolei Jia
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引用次数: 0

摘要

生成式人工智能(AI)技术的出现标志着科学领域迎来了一个变革性的时刻,为提高科学写作的效率和质量、加快洞察力的发现以及增强代码开发流程开辟了新的途径。要充分利用这些进步,关键在于即时工程,这是一种提高人工智能交互效率和质量的方法。尽管人工智能好处多多,但要想有效应用,就必须将研究人员的专业知识与人工智能相结合,避免过度依赖。将人工智能与独立批判性思维相结合的平衡战略可确保科学研究的进步和质量,在利用创新的同时保持研究的完整性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

ChatGPT and generative AI are revolutionizing the scientific community: A Janus-faced conundrum

ChatGPT and generative AI are revolutionizing the scientific community: A Janus-faced conundrum

The advent of generative artificial intelligence (AI) technologies marks a transformative moment for the scientific sphere, unlocking novel avenues to elevate scientific writing's efficiency and quality, expedite insight discovery, and enhance code development processes. Essential to leveraging these advancements is prompt engineering, a method that enhances AI interaction efficiency and quality. Despite its benefits, effective application requires blending researchers' expertise with AI, avoiding overreliance. A balanced strategy of integrating AI with independent critical thinking ensures the advancement and quality of scientific research, leveraging innovation while maintaining research integrity.

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