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GPart: End-to-End Isometric Fine-Tuning via Global Parameter Partitioning

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Mandica, Paolo, Brzozowski, Michał, Dubanowska, Zuzanna, Chung, Neo Christopher
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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