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Updated: Feb 26, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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プロস্টドンティクス多肢選択問題における強化型大規模言語モデルのパフォーマンス

Shenghan Gao1, Zi-Ang Wang2, Zihan Gao1

  • 1Department of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, Beijing, PR China.

International dental journal
|February 24, 2026
PubMed
まとめ

検索拡張生成（RAG）、コンテキスト内学習（ICL）、多数決を利用した強化型大規模言語モデル（LLM）は、中国のプロストドンティクス問題の正答率を向上させたが、英語の問題では向上しなかった。これらの強化型LLMは、歯科教育タスクに応用できる可能性を示している。

キーワード:
人工知能教育大規模言語モデルプロストドンティクス検索拡張生成

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Assessment of the Mouth01:26

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A thorough mouth assessment, including inspection and palpation of the lips, gums, tongue, tonsils, uvula, and pharynx, is crucial in detecting potential health issues. Diseases ranging from oral cancer to systemic conditions like diabetes could be identified early through careful oral examination. This article provides a detailed guide on conducting a comprehensive mouth assessment.
Mouth Inspection
The inspection begins with visually examining the mouth for symmetry, color, and size.
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