In-context learning offers greater flexibility for adapting to the rapidly evolving field of Large Language Models (LLMs), though prompt engineering is time-consuming and requires methods that are not universally applicable across models, as reported by Zhao et al. (2024).

Authors

• Person: Not available Organization: Frontiers
  Combining large language models with enterprise knowledge graphs

Sources

• Combining large language models with enterprise knowledge graphs www.frontiersin.org Frontiers via serper

Referenced by nodes (3)

• Large Language Models concept
• In-Context Learning concept
• prompt engineering concept