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Updated: Feb 14, 2026

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

Published on: December 6, 2024

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東部協同腫瘍学グループのプロンプトエンジニアリング ステータス抽出: 大規模言語モデル技術の比較

Meenakshi Dubey1, Kok Joon Chong1, Yuba Raj Pun1

  • 1Saw Swee Hock School of Public Health, National University of Singapore, Singapore City, Singapore.

JCO clinical cancer informatics
|February 12, 2026
PubMed
まとめ

先進的な大型言語モデル (LLM) プロンプトは, Eastern Cooperative Oncology Group (ECOG) のパフォーマンス状態を臨床ノートから抽出することを大幅に改善します. ダブルフィルタリングや思考の連鎖のような技術は,がん患者のデータ管理に優れた正確性と信頼性を提供します.

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