Knowledge graphs rely on structured data expressed as entities, relationships, and attributes using manually designed patterns, whereas Large Language Models derive knowledge from large-scale text corpora using unsupervised learning to create high-dimensional continuous vector spaces.

Authors

• Person: Not available Organization: Frontiers
  Practices, opportunities and challenges in the fusion of knowledge ...

Sources

• Practices, opportunities and challenges in the fusion of knowledge ... www.frontiersin.org Frontiers via serper

Referenced by nodes (2)

• Large Language Models concept
• knowledge graphs concept