Periodical
MiniCPM5-2B Tops Larger AI Models in OpenBMB Tests.
| Τίτλος: | MiniCPM5-2B Tops Larger AI Models in OpenBMB Tests. |
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| Πηγή: | eWeek. 9/9/2026, pN.PAG-N.PAG. 1p. |
| Θεματικοί όροι: | *Artificial intelligence, *Artificial neural networks, Benchmark testing (Engineering), Benchmark problems (Computer science) |
| Περίληψη: | OpenBMB says MiniCPM5-2B tops larger models on its 34-test benchmark table. eWeek finds where the 2.52B-parameter model wins and falls short. [ABSTRACT FROM AUTHOR] |
| Copyright of eWeek is the property of TechnologyAdvice, LLC and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Business Source Index |
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| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Artificial intelligence Type: general – SubjectFull: Artificial neural networks Type: general – SubjectFull: Benchmark testing (Engineering) Type: general – SubjectFull: Benchmark problems (Computer science) Type: general Titles: – TitleFull: MiniCPM5-2B Tops Larger AI Models in OpenBMB Tests. Type: main BibRelationships: IsPartOfRelationships: – BibEntity: Dates: – D: 09 M: 09 Text: 9/9/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15306283 Titles: – TitleFull: eWeek Type: main |
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