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NVIDIAの研究チームは、従来の自己回帰型デコーディングと比べて2.42倍高速にテキストを生成できるディスクリート拡散言語モデル「Nemotron-Labs-TwoTower」のオープンウェイトと学習コードを公開した。このモデルは、ベースラインのベンチマーク品質を98.7%維持しつつ、大規模な事前再学習を必要としない点が大きな特徴である。既存の自己回帰型モデルの資産を活かしながら、並列生成による ...