Applied Hedge Algebra Approach with Multilingual Large Language Models to Extract Hidden Rules in Datasets for Improvement of Generative AI Applications.
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| Title: | Applied Hedge Algebra Approach with Multilingual Large Language Models to Extract Hidden Rules in Datasets for Improvement of Generative AI Applications. |
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| Authors: | Pham, Hai Van1 (AUTHOR) haipv@soict.hust.edu.vn, Moore, Philip2 (AUTHOR) ptmbcu@gmail.com |
| Source: | Information. Jul2024, Vol. 15 Issue 7, p381. 28p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 178701270 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Applied Hedge Algebra Approach with Multilingual Large Language Models to Extract Hidden Rules in Datasets for Improvement of Generative AI Applications. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Pham%2C+Hai+Van%22">Pham, Hai Van</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> haipv@soict.hust.edu.vn</i><br /><searchLink fieldCode="AR" term="%22Moore%2C+Philip%22">Moore, Philip</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> ptmbcu@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Information%22">Information</searchLink>. Jul2024, Vol. 15 Issue 7, p381. 28p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=178701270 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/info15070381 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 28 StartPage: 381 Titles: – TitleFull: Applied Hedge Algebra Approach with Multilingual Large Language Models to Extract Hidden Rules in Datasets for Improvement of Generative AI Applications. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pham, Hai Van – PersonEntity: Name: NameFull: Moore, Philip IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 20782489 Numbering: – Type: volume Value: 15 – Type: issue Value: 7 Titles: – TitleFull: Information Type: main |
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