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Research on Effective Information Extraction Techniques for Multi-Round Dialogues of Large-Scale Models in Deep Learning Environment

Hao Hu

Hao Hu

State Grid Jiangsu Electric Power Co., Ltd., Information and Telecommunication BranchNanjing, China
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Hu, Hao
, 
Zenghui Xiang

Zenghui Xiang

State Grid Jiangsu Electric Power Co., Ltd., Information and Telecommunication BranchNanjing, China
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Xiang, Zenghui
, 
Jinhui Li

Jinhui Li

State Grid Jiangsu Electric Power Co., Ltd., Information and Telecommunication BranchNanjing, China
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Li, Jinhui
, 
Hua Gao

Hua Gao

State Grid Jiangsu Electric Power Co., Ltd., Information and Telecommunication BranchNanjing, China
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Gao, Hua
 and 
Shenran Wang

Shenran Wang

State Grid Jiangsu Electric Power Co., Ltd., Information and Telecommunication BranchNanjing, China
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Wang, Shenran
  
Nov 27, 2024
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Published Online: Nov 27, 2024
Received: Jun 21, 2024
Accepted: Oct 14, 2024
DOI: https://doi.org/10.2478/amns-2024-3569
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© 2024 Hao Hu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Language:
English
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1 times per year
Journal Subjects:
Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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