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Updated: May 26, 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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探测药物不良反应的隐藏状态的大型语言模型知识知识

Jacob Berkowitz1, Davy Weissenbacher1, Apoorva Srinivasan1

  • 1Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.

medRxiv : the preprint server for health sciences
|February 24, 2025
PubMed
概括

稀疏的自动编码器 (SAEs) 使大语言模型 (LLMs) 的内部知识可解释. 这种方法有效地识别药物不良反应 (ADRs) 高精度,使透明和高效的生物医学应用.

关键词:
药物不良反应 药物不良反应可解释的人工智能知识综合 知识综合斯帕尔斯自动编码器的自动编码器

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