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Updated: Jul 5, 2025
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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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Studying large language models as compression algorithms for human culture
1Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA.
Trends in Cognitive Sciences
|January 20, 2024
Abstract:
Large language models (LLMs) extract and reproduce the statistical regularities in their training data. Researchers can use these models to study the conceptual relationships encoded in this training data (i.e., the open internet), providing a remarkable opportunity to understand the cultural distinctions embedded within much of recorded human communication.
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