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Updated: Sep 10, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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クラスをカスタマイズしたドメインの適応: 1 つのアノテーションで各顧客特有のクラスを解き放つ

Kaixin Chen, Huiying Chang, Mengqiu Xu

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |August 27, 2025
    PubMed
    まとめ

    この研究は,最小限のデータで専門的なタスクのためにAIモデルを効率的にカスタマイズするための新しいクラスカスタマイズドメイン適応 (CCDA) メソッドを導入します. CCDAは,新しい特徴の調整とサンプリング技術を使用して,顧客特有のクラスを効果的に処理します.

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