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Updated: Jun 12, 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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开发大型语言模型来检测在x上的帖子中的不良药物事件

Yu Deng1, Yunzhao Xing1, Jason Quach2

  • 1Data & Statistical Sciences, AbbVie Inc, North Chicago, Illinois, USA.

Journal of biopharmaceutical statistics
|September 20, 2024
PubMed
概括

大型语言模型 (LLM) 可以有效地从社交媒体数据中识别药物不良事件 (ADEs). 在检测ADEs方面,RoBERTa-large表现出卓越的性能,突出的是LLMs.

关键词:
贝尔特 (BERT) 公司聊天GPT 聊天GPT 在线聊天法学士 (LLM) 是一个专业.机器学习是机器学习.罗伯特 罗伯特是一个人.罗伯特大大的推特/XX 在线药物不良事件是药物不良事件.几次射击提示提示的提示自然语言处理自然语言处理.

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