Large Language Models are prone to generating factually incorrect information ('hallucinations'), struggle with processing extended contexts, and suffer from catastrophic forgetting, where previously learned knowledge is lost during new training.

Authors

• Person: Not available Organization: arXiv
  KG-RAG: Bridging the Gap Between Knowledge and Creativity - arXiv

Sources

• KG-RAG: Bridging the Gap Between Knowledge and Creativity - arXiv arxiv.org arXiv via serper

Referenced by nodes (2)

• Large Language Models concept
• hallucination concept