LARGE LANGUAGE MODELS (LLMS) AND CHATGPT FOR BIOMEDICINE

被引：0

作者：

Arighi, Cecilia ^{[1
]}

Brenner, Steven ^{[2
]}

Lu, Zhiyong ^{[3
]}

机构：

[1] Univ Delaware, Dept Comp & Informat Sci, Ammon Pinizzotto Biopharmaceut Innovat Bldg,590 A, Newark, DE 19713 USA

[2] Univ Calif Berkeley, Dept Plant & Microbial Biol, 461 Koshland Hall, Berkeley, CA 94720 USA

[3] NCBI, NLM, NIH, Bethesda, MD 20894 USA

来源：

BIOCOMPUTING 2024, PSB 2024 | 2024年

关键词：

ChatGPT; large language model; LLM; generative AI; biomedicine and health; education; ethics;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Large Language Models (LLMs) are a type of artificial intelligence that has been revolutionizing various fields, including biomedicine. They have the capability to process and analyze large amounts of data, understand natural language, and generate new content, making them highly desirable in many biomedical applications and beyond. In this workshop, we aim to introduce the attendees to an in-depth understanding of the rise of LLMs in biomedicine, and how they are being used to drive innovation and improve outcomes in the field, along with associated challenges and pitfalls.

引用

页码：641 / 644

页数：4

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