Knowledge Tree
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Fine-tuning is the process used to integrate structured data from a Knowledge Graph into an LLM to enhance its reasoning and reduce hallucinations, as described in [1].
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A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com 1 fact
claimFine-tuning an LLM on embedded graph data aligns the model's general language understanding with the structured knowledge from the KG, which improves contextual features, increases reasoning capabilities, and reduces hallucinations.