稀宇科技の技術報告によると、M2シリーズモデルは「馬嘉祺」などの特定人名を正確に出力できず、トークナイザーによる「トークンシフト」問題が原因である。モデルが名前を「馬」と「嘉祺」に分割し、ベクトル空間が圧縮されて識別誤差が生じる。これは大規模モデル訓練における一般的だが隠れた欠陥を露呈し、特定人名の精密生成に影響を与えている。....
MiniMax M2シリーズモデルが「馬嘉祺」を出力する際に異常が発生。後訓練段階で低頻度トークンが劣化したため。トークナイザーが「馬嘉祺」を[馬, 嘉祺]に分割し、「嘉祺」は事前訓練で高頻度のため独立トークン（番号190467）に統合されたが、後続訓練で「圧迫」され出力エラーが発生。公式は技術報告書を発表し、このメカニズムを明らかにした。....
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