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相关概念视频

Language Development01:22

Language Development

394
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...
394
Improving Translational Accuracy02:07

Improving Translational Accuracy

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2.6K
Language and Cognition01:27

Language and Cognition

374
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.
374
Components of Language01:24

Components of Language

316
Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
316
Language01:16

Language

249
Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
249
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

911
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...
911

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相关实验视频

Updated: Jul 17, 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

618

弥合儿童与大型语言模型之间的数据差距.

Michael C Frank1

  • 1Department of Psychology, Stanford University, 450 Jane Stanford Way, Stanford, CA 94305, USA.

Trends in cognitive sciences
|September 2, 2023
PubMed
概括
此摘要是机器生成的。

大型语言模型 (LLM) 需要比儿童学习更多的数据. 这项研究探讨了为什么孩子能够更有效地学习,考虑了先前知识和社交互动等因素.

关键词:
人工智能的人工智能是人工智能.人类学习 人类学习语言学习学习语言学习大型语言模型.

更多相关视频

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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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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Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

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相关实验视频

Last Updated: Jul 17, 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

618
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

276
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

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科学领域:

  • 认知科学 认知科学
  • 人工智能的人工智能
  • 发展心理学 发展心理学

背景情况:

  • 大型语言模型 (LLM) 显示出新兴的行为,但需要大量的数据.
  • 人类儿童在相对较少的数据上获得了显著的语言能力.
  • 在LLM和人类学习之间,样本效率存在显著差距.

研究的目的:

  • 调查与LLMs相比,儿童语言学习的优异样本效率背后的原因.
  • 确定有助于人类高效学习的关键因素.
  • 为了帮助开发更有效的样本AI模型.

主要方法:

  • 对LLM和人类儿童的数据要求进行比较分析.
  • 审查关于儿童发展和人工智能的现有文献.
  • 假设学习效率差异的潜在解释.

主要成果:

  • 语言学士的语言训练数据比人类儿童的语言数据多1万到10万倍.
  • 儿童效率的候选解释包括先前存在的概念知识.
  • 多式联络接地和交互性,社会性质的输入也是提出的因素.

结论:

  • 数据暴露的巨大差异突出了人工智能研究的关键领域.
  • 儿童的学习优势可能源于集成的认知和社会机制.
  • 了解这些差异对于推进人工智能至关重要.