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Related Questions
- What are the key differences between external knowledge graphs and in-house generated knowledge through NLP models?
- How do the scalability and maintenance costs of external knowledge graphs compare to in-house generated knowledge?
- What are the advantages and disadvantages of using pre-existing external knowledge graphs versus generating knowledge from scratch?
- Can you provide examples of successful use cases where external knowledge graphs were used, and where in-house generated knowledge was preferred?
- How do the quality and accuracy of knowledge generated through NLP models compare to external knowledge graphs?
- What are the implications of using external knowledge graphs versus in-house generated knowledge on data ownership and intellectual property?
- How can I determine the optimal balance between using external knowledge graphs and generating knowledge in-house, considering factors such as cost, time, and expertise?
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