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Related Concept Videos

Language01:16

Language

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...
Language and Cognition01:27

Language and Cognition

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.
Language Development01:22

Language Development

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...
Components of Language01:24

Components of Language

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. “eh”). Phonemes combine to...
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

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...
Improving Translational Accuracy02:07

Improving Translational Accuracy

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...

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Related Experiment Video

Updated: Jul 2, 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

How Does That Large Language Model Make You Feel?

Simon Spichak

    Journal of Medical Internet Research
    |July 1, 2026
    PubMed
    Summary
    This summary is machine-generated.

    Large language models (LLMs) offer emotional support, but experts discuss safety concerns and research gaps. Further investigation is needed to understand their role in mental health care.

    Keywords:
    artificial intelligencechatbotsethicshuman-computer interactionlarge language modelsmental healthpatient safetypsychotherapyresearch designsimulation

    Related Experiment Videos

    Last Updated: Jul 2, 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

    Area of Science:

    • Mental Health
    • Artificial Intelligence
    • Digital Health

    Background:

    • Growing use of large language models (LLMs) for emotional support.
    • Increasing public reliance on AI for mental wellness.
    • Need for expert perspectives on AI in mental health.

    Purpose of the Study:

    • To report on the role of LLMs in mental health.
    • To discuss safety concerns associated with LLMs for emotional support.
    • To identify research gaps and future directions for AI in mental health.

    Main Methods:

    • News and Perspectives article format.
    • Interviews with mental health and AI experts.
    • Synthesis of expert opinions on LLM applications.

    Main Results:

    • LLMs are being adopted for emotional support.
    • Significant safety concerns and ethical considerations exist.
    • Current research on LLMs in mental health is limited.

    Conclusions:

    • LLMs present potential benefits but require careful implementation.
    • Addressing safety and ethical issues is crucial for responsible AI use.
    • Further research is essential to guide the integration of LLMs into mental health support.