相关实验视频

Updated: Jun 29, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

554

评价大型语言模型的性能和可靠性,引用和参考文献在学术写作:跨学科研究研究

Joseph Mugaanyi1, Liuying Cai2, Sumei Cheng2

  • 1Department of Hepato-Pancreato-Biliary Surgery, Ningbo Medical Center Lihuili Hospital, Health Science Center, Ningbo University, Ningbo, China.

Journal of medical Internet research
|April 5, 2024
PubMed
概括

大型语言模型 (LLM) 在各个学术领域显示出不同的引用准确性. 聊天GPT (GPT-3.5) 在自然科学领域产生了比人文领域更准确的数字物体识别器 (DOI).

关键词:
在这里,我们可以看到AIAIAI.聊天GPT 聊天GPT 聊天在 GPT-3.5 中使用.在法律上,LLMs.在NLP中,我们使用了NLP.学术话语中的学术话语.学术写作学术写作准确度 准确度 准确度 准确度人工智能的人工智能是人工智能.聊天机器人 聊天机器人引用 引用 引用 引用跨学科的评价是跨学科的评价.人文科学 人文科学大型语言模型.机器学习算法的算法自然语言处理自然语言处理.自然科学自然科学 自然科学参考文献 参考文献 参考文献这是一个学术性的学术.学术写作学术写作写作工具 写作工具

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