Thoughts on AI Interoperability.
The author reflects on the interoperability of machine learning (ML) and large language model (LLM) systems, considering the potential for specialized APIs, federated learning, and cooperative interaction among ML systems, suggesting the need for semantic and syntactic exchange standards to ensure p...
| Publicado en: | Communications of the ACM Vol. 67; no. 4; pp. 5 - 6 |
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| Autor principal: | |
| Formato: | Opinion |
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Association for Computing Machinery
Apr2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=176231538&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 176231538 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Apr2024 vid: 67 iid: 4 pid: 68 pub: Association for Computing Machinery artinfo: ui: 176231538 10.1145/3649475 ppf: 5 ppct: 1 formats: tig: atl: Thoughts on AI Interoperability. aug: au: Cerf, Vinton G. affil: Google su: Machine learning Application program interfaces Language models Federated learning Semantics Syntax (Grammar) Standards sug: subj: Machine learning Application program interfaces Language models Federated learning Semantics Syntax (Grammar) Standards ab: The author reflects on the interoperability of machine learning (ML) and large language model (LLM) systems, considering the potential for specialized APIs, federated learning, and cooperative interaction among ML systems, suggesting the need for semantic and syntactic exchange standards to ensure precision in information exchange. They invite input from more qualified individuals to further develop these ideas. pubtype: Periodical doctype: Opinion src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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