학술논문
How large language models including generative pre-trained transformer (GPT) 3 and 4 will impact medicine and surgery.
Document Type
Article
Author
Source
Subject
*LANGUAGE models
*GENERATIVE pre-trained transformers
*ARTIFICIAL intelligence
*NATURAL language processing
*AUTOMATED external defibrillation
*COMPUTER vision
*CLINICAL prediction rules
*NURSING informatics
*CHATBOTS
*INFORMATION needs
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Language
ISSN
1123-6337
Abstract
Recently, a promising autoregressive large language model (LLM), I G i enerative I P i re-trained I T i ransformer (GPT)-3 trained with 175 billion parameters via cloud computing [[1]] has been made available to the public online (released by OpenAI on November 30, 2022; https://chat.openai.com/). Theoretically, healthcare IT can integrate LLMs into the electronic medical record (EMR) so as to use the generative AI capability to write discharge summaries [[23]], assist with data entry, and optimize patient check-in for visits (e.g., by assimilating necessary patient data prior to consultation and treatment). Understanding large language models (LLMs) LLMs are a specific application of Natural Language Processing (NLP), which is a subfield of AI that focuses on the interaction between computers and human language. [Extracted from the article]