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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Large Language Models: A Historical and Sociocultural Perspective.
1The Division of the Social Sciences, The University of Chicago.
Cognitive Science
|March 19, 2024
Summary
Large language models (LLMs) connect to cognitive science via information theory and linguistic perspectives. Integrating metapragmatic function and indexicality is key for AI to fully grasp human communication nuances.
Area of Science:
- Cognitive Science
- Computational Linguistics
- Sociolinguistics
- Linguistic Anthropology
Background:
- Explores historical and contemporary links between large language models (LLMs) and cognitive science.
- Highlights the enduring significance of information theory and statistical learning in human communication.
- Discusses the evolution of sociolinguistics and linguistic anthropology since the 1970s.
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