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Updated: Jun 15, 2025

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

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将一个大型语言模型与以前的深度学习模型对药物不良事件的命名实体识别进行比较

Théophile Tiffet1,2, Alexis Pikaar3, Béatrice Trombert-Paviot1,2

  • 1Public health and medical information unit, Saint Etienne University Hospital, France.

Studies in health technology and informatics
|August 23, 2024
PubMed
概括

微调深度学习模型改善了对药物不良事件的命名实体识别 (NER),而不是使用大型语言模型进行少量学习. 虽然方便,但几次射击的学习是很方便的.

关键词:
深度学习是一种深度学习.在 GPT 中,GPT 是 GPT 的代码.知识的发现知识的发现.大型语言模型自然语言处理自然语言处理.药物监督 药物监督 药物监督

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