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Updated: May 14, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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开发一个通用提示符作为一个可扩展的生成人工智能辅助工具的USMLE第一步风格多选择题问题改进在医学教育

Youngjin Cho1, Grace L Park2, Gabi N Waite1

  • 1Department of Medical Education, Geisinger Commonwealth School of Medicine, Geisinger College of Health Sciences, Scranton, PA USA.

Medical science educator
|May 12, 2025
PubMed
概括

一个新的生成人工智能 (genAI) 工具可以帮助学习者改进多选题. 这种可适应的AI增强了教育内容的创作,并将其与更好的教学目标相协调.

关键词:
评估写作 评估写作生成性AI是一种人工智能.医学院的学生 医学院的学生多选项问题多选项问题提示医学教育的提示.

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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