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Updated: Sep 10, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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大型言語モデルによる腎臓キスタのボスニア語分類:比較研究

Ibrahim Hacibey1, Esat Kaba2

  • 1Department of Urology, Basaksehir Çam and Sakura City Hospital, Istanbul, Turkey.

Radiologie (Heidelberg, Germany)
|August 24, 2025
PubMed
まとめ

大型言語モデル (LLM) は,テキスト記述から腎臓キスタを正確に分類することができ,少数のショット学習でパフォーマンスを大幅に改善します. GPT-4は最も高い精度を示しましたが,ボスニアのIIF病変の分類は難しい分野です.

キーワード:
ボスニア語分類ショート・ラーニング大規模な言語モデル腎臓のキスト合成データ

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