Research Article
A Preliminary Study on Knowledge Management of Aerospace Enterprises Based on GPT Hybrid Large Model
@INPROCEEDINGS{10.4108/eai.23-2-2024.2345935, author={Xinying Li and Yangyang Liu and Yuanjing Lin and Jingshu Wang and Yun Xu}, title={A Preliminary Study on Knowledge Management of Aerospace Enterprises Based on GPT Hybrid Large Model}, proceedings={Proceedings of the 4th International Conference on Informatization Economic Development and Management, IEDM 2024, February 23--25, 2024, Kuala Lumpur, Malaysia}, publisher={EAI}, proceedings_a={IEDM}, year={2024}, month={5}, keywords={knowledge management gpt hybrid large model aerospace enterprises}, doi={10.4108/eai.23-2-2024.2345935} }- Xinying Li
Yangyang Liu
Yuanjing Lin
Jingshu Wang
Yun Xu
Year: 2024
A Preliminary Study on Knowledge Management of Aerospace Enterprises Based on GPT Hybrid Large Model
IEDM
EAI
DOI: 10.4108/eai.23-2-2024.2345935
Abstract
With the continuous development of aerospace science and technology, aerospace enterprises are facing increasingly complex knowledge management problems. Traditional knowledge management methodologies have no longer been able to meet the rapidly changing internal and external challenges. In response, this paper introduces a cutting-edge knowledge management framework based on Generative Pre-trained Transformer (GPT) hybrid large model. This framework harnesses the synergy of Natural Language Processing (NLP) and deep learning technology. Therefore, intelligent acquisition, organization, sharing and application of knowledge are realized to improve the innovation ability and competitiveness of aerospace enterprises.
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