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Updated: Jun 11, 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

508

关于用于乳腺癌决策支持的小型语言模型聊天机器人的概念验证研究 - 一种透明,源控制,可解释和数据安全的方法

Sebastian Griewing1,2,3,4, Fabian Lechner5,6, Niklas Gremke7

  • 1Institute for Digital Medicine, University Hospital Giessen and Marburg, Philipps-University Marburg, Marburg, Germany. s.griewing@uni-marburg.de.

Journal of cancer research and clinical oncology
|October 9, 2024
PubMed
概括

根据乳腺癌指南量身定制的新型小语言模型 (SLM) 显示出有希望的临床准确性. 这种乳腺癌SLM为决策支持提供了大型语言模型 (LLM) 的安全,可解释的替代方案.

关键词:
人工智能的人工智能是人工智能.乳腺癌是什么? 乳腺癌是什么临床瘤学临床瘤学大型语言模型.小语言模型的小语言模型.

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