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KI-Atlas

Phi

Kleine, effiziente Modelle aus kuratierten Daten

Microsoft Modell Offene Gewichte
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Der vollständige Artikel liegt auf Englisch vor; Titel und Zusammenfassung sind lokalisiert.

WAS ES IST

Phi is a family of small language models introduced by Microsoft Research in June 2023. Its emphasis is data quality rather than model size: training on filtered “textbook-quality” text lets a few-billion-parameter model approach much larger ones on reasoning and coding. Phi-3 offers 3.8B, 7B and 14B sizes, and the smallest, Phi-3-mini, can run on-device. The models are released as open weights and are often used to probe the capability limits of small models.

Warum es wichtig ist

It showed that curating and orchestrating data can substitute for parameter count to a surprising degree: a few-billion-parameter model trained on selected data can approach models an order of magnitude larger on some reasoning tasks.

Wichtige Eckdaten

Parameters
3.8B / 7B / 14B (Phi-3 family)
Training data
Mainly filtered “textbook-quality” text
Open weights
Yes
Released
2023-06

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