Making Large Language Models More Reliable and Beneficial: Taking ChatGPT as a Case Study
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Majeed, Abdul | - |
dc.contributor.author | Hwang, Seong Oun | - |
dc.date.accessioned | 2024-04-21T11:30:22Z | - |
dc.date.available | 2024-04-21T11:30:22Z | - |
dc.date.issued | 2024-03 | - |
dc.identifier.issn | 0018-9162 | - |
dc.identifier.issn | 1558-0814 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/91018 | - |
dc.description.abstract | This article suggests practical ways to make large language models more reliable and beneficial by taking ChatGPT as a case study. Specifically, we describe ChatGPT's workflow and promised services and highlight the perils requiring the immediate attention of ChatGPT stakeholders. | - |
dc.format.extent | 6 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE COMPUTER SOC | - |
dc.title | Making Large Language Models More Reliable and Beneficial: Taking ChatGPT as a Case Study | - |
dc.type | Article | - |
dc.identifier.wosid | 001184746200002 | - |
dc.identifier.doi | 10.1109/MC.2023.3327028 | - |
dc.identifier.bibliographicCitation | COMPUTER, v.57, no.3, pp 101 - 106 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85189566890 | - |
dc.citation.endPage | 106 | - |
dc.citation.startPage | 101 | - |
dc.citation.title | COMPUTER | - |
dc.citation.volume | 57 | - |
dc.citation.number | 3 | - |
dc.type.docType | Article | - |
dc.publisher.location | 미국 | - |
dc.subject.keywordAuthor | Large language models | - |
dc.subject.keywordAuthor | Reliability engineering | - |
dc.subject.keywordAuthor | Chatbots | - |
dc.subject.keywordAuthor | Artificial intelligence | - |
dc.subject.keywordAuthor | Human factors | - |
dc.subject.keywordAuthor | Open systems | - |
dc.subject.keywordAuthor | Deep learning | - |
dc.subject.keywordAuthor | Context awareness | - |
dc.subject.keywordAuthor | Question answering (information retrieval) | - |
dc.subject.keywordAuthor | Market research | - |
dc.subject.keywordAuthor | Technology forecasting | - |
dc.subject.keywordAuthor | Modeling | - |
dc.subject.keywordAuthor | Stakeholders | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Hardware & Architecture | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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