Last Updated:2025/09/23

データの偏りを避け、モデルの汎化性能を高めるために、異なる出典からのサンプルを慎重に交ぜることが求められる。

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To avoid bias in the data and improve the model's generalization performance, it is necessary to carefully mix samples from different sources.

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To avoid bias in the data and improve the model's generalization performance, it is necessary to carefully mix samples from different sources.

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