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相关概念视频

Language and Cognition01:27

Language and Cognition

460
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
460
Language Development01:22

Language Development

461
Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
461
Improving Translational Accuracy02:07

Improving Translational Accuracy

11.9K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
11.9K
Modeling in Therapy01:26

Modeling in Therapy

155
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
155
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

1.0K
Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
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相关实验视频

Updated: Sep 18, 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

Published on: December 6, 2024

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在大型语言模型中评估和改善综合症差异化思维能力:方法开发研究

Chunliang Chen1, Xinyu Wang1, Ming Guan1

  • 1East China Normal University, No.3663 Zhongshanbei Road, Shanghai, China, 86 18621306726.

JMIR medical informatics
|June 20, 2025
PubMed
概括
此摘要是机器生成的。

大型语言模型 (LLM) 对推进传统中医药 (TCM) 的发展有前途. 用专门的指令数据微调LLM显著改善了他们的综合征差异化思维,模仿专家临床推理.

关键词:
在RAG RAG的基础上.在TCM LLMs.指令调整调整的指令.大型语言模型综合征差异化思维思维 综合征差异化思维传统的中国医药传统的中国医药.

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Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
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科学领域:

  • 人工智能的人工智能
  • 计算医学是一种计算医学.
  • 传统中国医药 传统中国医药

背景情况:

  • 大型语言模型 (LLM) 为传统中医药 (TCM) 的智能发展提供了新的途径.
  • 综合症差异化是TCM的核心组成部分,将这种能力整合到LLM中对于临床应用至关重要.
  • 传统医学综合征分化的复杂性对当前的法学士来说是一个重大挑战.

研究的目的:

  • 评估LLMs的综合征差异化思维能力.
  • 开发和评估一种方法,以提高LLM在TCM综合征差异化方面的表现.

主要方法:

  • 分解TCM综合征分化为致病发生推断,综合征推断和诊断建议.
  • 创建了一个高质量的评估数据集,包含200个标准化的医疗病例.
  • 开发了一种"开放式考试"方法,使用定制模板和动态知识检索来生成专业指导数据,以微调LLMs.

主要成果:

  • 拟议的微调方法显著提高了LLM在综合征差异化任务中的性能.
  • 微调的模型在病变发生推断方面达到85.7%的准确率,在综合征推断方面达到81.2%.
  • 该模型的诊断建议与专家意见相似84.3%,表现优于现有的一般和TCM特定的LLM.

结论:

  • 目前的LLM在TCM综合征分化方面表现出局限性.
  • 微调的LLM与量身定制的指令数据和专业知识大大提高了他们的诊断推理能力.
  • 优化的LLM证明了专家水平的一致性,为TCM临床实践提供了重要的理论和实际价值.