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Related Questions
- How do general knowledge graphs and domain-specific ontologies impact the performance of fine-tuned models?
- What are the primary advantages of using domain-specific ontologies over general knowledge graphs in fine-tuning?
- Can you provide examples of scenarios where general knowledge graphs are more suitable than domain-specific ontologies, and vice versa?
- How do the size and complexity of the knowledge graph or ontology affect the fine-tuning process?
- What are the implications of using general knowledge graphs versus domain-specific ontologies on model interpretability and explainability?
- In what cases is it necessary to combine general knowledge graphs and domain-specific ontologies for effective fine-tuning?
- How do the choice of general knowledge graph or domain-specific ontology influence the model's ability to generalize to new, unseen data?
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