Matches in Nanopublications for { <https://neverblink.eu/ontologies/llm-kg/methods#KnowledgeGraphTuning> ?p ?o ?g. }
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- KnowledgeGraphTuning type Workflow assertion.
- KnowledgeGraphTuning label "Knowledge Graph Tuning" assertion.
- KnowledgeGraphTuning comment "Knowledge Graph Tuning (KGT) is a novel approach for real-time LLM personalization. It leverages LLMs to extract personalized factual knowledge triples and evaluates their retrieval and reasoning probabilities, which then guide a heuristic optimization algorithm to modify an external Knowledge Graph (KG) by adding or removing triples. This continuous feedback loop where the LLM actively interacts with and updates the KG to enhance its reasoning aligns with the Synergized Reasoning category." assertion.
- KnowledgeGraphTuning subject SynergizedReasoning assertion.
- KnowledgeGraphTuning hasTopCategory SynergizedLLMKG assertion.