Knowledge content retrieval method based on large model of department and wound service

According to the knowledge content retrieval method based on the large model of the department and wound service, systematic arrangement, classification and screening of a knowledge base are achieved through the large language model technology, and the content is stored in a vector form of text bloc...

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Bibliographische Detailangaben
Hauptverfasser: DONG CHENCHEN, ZHU FA, HU QING, LI YANG, LU YANZE, ZHANG QINGXIN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:According to the knowledge content retrieval method based on the large model of the department and wound service, systematic arrangement, classification and screening of a knowledge base are achieved through the large language model technology, and the content is stored in a vector form of text blocks so that follow-up retrieval and use can be facilitated. Writing themes and keywords provided by a user are converted into vector forms, the system can quickly and accurately retrieve related information, and content related to the themes is generated by means of semantic understanding and text generation capacity of a large model. The generated content can be presented in an online document editor in real time, and a user can edit the content and obtain real-time feedback and suggestions to help to perfect articles. And the system can update and expand the knowledge base along with time and requirements, so that the timeliness and accuracy of information are ensured, and the system adapts to constantly changing