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AI図鑑

Phi

小さな規模と厳選データで作られた高効率な小モデル

Microsoft モデル オープンウェイト
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本ページの本文は英語で提供されています。タイトルと導入は日本語化されています。

これは何か

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.

なぜ覚えておく価値があるか

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.

主な仕様

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

対応する能力

関連する概念

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