Review of Enhancement Research for Closed-Source Large Language Model

Review of Enhancement Research for Closed-Source Large Language Model

With the rapid development of large language models in the field of natural language processing, performance enhancement of closed-source large language models represented by the GPT family has become a challenge. Due to the inaccessibility of parameter weights inside the models, traditional trainin...

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Bibliographic Details
Main Author:	LIU Hualing, ZHANG Zilong, PENG Hongshuai
Format:	Article
Language:	zho
Published:	Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2025-05-01
Series:	Jisuanji kexue yu tansuo
Subjects:	closed-source model; large language model; prompt engineering; retrieval augmented generation; agent
Online Access:	http://fcst.ceaj.org/fileup/1673-9418/PDF/2407021.pdf
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