A Practical and Privacy-Preserving Framework for Real-World Large Language Model Services
A Practical and Privacy-Preserving Framework for Real-World Large Language Model Services
About this item
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Author / Creator
Mao, Yu , Liao, Xueping , Liu, Wei and Yang, Anjia
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
Large language models (LLMs) have demonstrated exceptional capabilities in text understanding and generation, and they are increasingly being utilized across various domains to enhance productivity. However, due to the high costs of training and maintaining these models, coupled with the fact that some LLMs are proprietary, individuals often rely o...
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Full title
A Practical and Privacy-Preserving Framework for Real-World Large Language Model Services
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Author / Creator
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TN_cdi_proquest_journals_3124185281
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3124185281
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E-ISSN
2331-8422
