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Large language models (LLMs) embed extensive knowledge and utilize it to perform exceptionally well across various tasks. Nevertheless, outdated knowledge or factual errors within LLMs can lead to misleading or incorrect responses, causing significan
Externí odkaz:
http://arxiv.org/abs/2410.10859
Publikováno v:
Journal of Landscape Research; Dec2023, Vol. 15 Issue 6, p65-72, 5p
