関連する実験動画

Updated: Sep 10, 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

681

大規模な言語モデルの活用により 認定,医師の学習,診断の卓越性を向上させる

Ting Wang1, David W Price2, Andrew W Bazemore2

  • 1From the American Board of Family Medicine, Lexington, KY (TW, DWP, AWB); Department of Family Medicine, University of Colorado School Anschutz School of Medicine, Aurora, CO (DWP). twang@theabfm.org.

Journal of the American Board of Family Medicine : JABFM
|August 25, 2025
PubMed
まとめ

大型言語モデル (LLM) は医師の診断の正確性と教育を改善することができます. アメリカン・ボード・オブ・ファミリー・メディシンは 継続的な学習のために より良い質問と パーソナライズされたフィードバックを作成するために LLM を使用しています

キーワード:
人工知能認証教育 を 継続 する診断の誤り考察 に 関する 質問家族医学形成的なフィードバック大規模な言語モデル医師たち自己 評価

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