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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| Format: | Article |
| Language: | zho |
| Published: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2025-05-01
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| Series: | Jisuanji kexue yu tansuo |
| Subjects: | |
| Online Access: | http://fcst.ceaj.org/fileup/1673-9418/PDF/2407021.pdf |
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