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Updated: Jul 19, 2026

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

大型语言模型中固有的偏见:随机抽样分析

Noel F Ayoub1, Karthik Balakrishnan2, Marc S Ayoub3

  • 1Division of Rhinology and Skull Base Surgery, Department of Otolaryngology--Head & Neck Surgery, Mass Eye and Ear/Harvard Medical School, Boston, MA.

Mayo Clinic proceedings. Digital health
|April 10, 2025
PubMed
概括

生成型人工智能 (AI) 模拟揭示了医生在生死决策中的重大偏见. 大型语言模型 (LLM) 支持与模拟医生相似的患者,影响医疗保健公平.

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
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Simple randomization
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Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
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