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Large Language Models are related to ontology as they are contrasted in [1], where the structured, rule-based nature of an ontology is presented as a superior alternative to the surface-level correlations found in GPT-based LLMs.
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Neurosymbolic AI: The Future of AI After LLMs - LinkedIn linkedin.com 1 fact
claimGraphMERT adheres to the strict rules of a professional-grade ontology, allowing it to provide breakthrough ideas from domain-specific data rather than the surface-level word correlations and hallucinations associated with GPT-based LLMs.