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Updated: Sep 9, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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医学史の取扱訓練のための大規模な言語モデルベースのシステムの開発と検証:評価の安定性,人間-人工知能の一貫性,および透明性に関する将来的なマルチケース研究

Yang Liu1, Chujun Shi1, Liping Wu1

  • 1Medical Simulation Center, Shantou University Medical College, No. 22 Xinling Road, Shantou, 515041, China, 86 754-88900459.

JMIR medical education
|August 29, 2025
PubMed
まとめ

AI駆動の医療履歴調査訓練・評価システム (AMTES) は,医学生に一貫した透明なフィードバックを提供します. このAI駆動のツールは高い精度と安定性を示し,歴史を記録するシミュレーションにおける臨床スキルを高めています.

キーワード:
ディープシーククウェンクロスモデルの汎用性評価の安定性について評価の透明性について人と人工知能の一致性大型言語モデル病歴検査構造化された評価仮想標準化された患者

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