Once trained, large language models can be fine-tuned with additional data at a lower cost and effort compared to updating Knowledge Graphs, and they can support in-context learning without requiring fine-tuning.

Authors

• Person: Not available Organization: arXiv
  The Synergy of Symbolic and Connectionist AI in LLM-Empowered ...

Sources

• The Synergy of Symbolic and Connectionist AI in LLM-Empowered ... arxiv.org arXiv via serper
• The Synergy of Symbolic and Connectionist AI in LLM ... arxiv.org arXiv via serper

Referenced by nodes (3)

• Large Language Models concept
• knowledge graphs concept
• In-Context Learning concept