The AMG-RAG model, which has 8 billion parameters, achieves an F1 score of 74.1% on the MEDQA benchmark without requiring fine-tuning, surpassing the performance of the 70 billion parameter Meditron model.

Authors

• Person: Not available Organization: arXiv
  Bridging the Gap Between LLMs and Evolving Medical Knowledge

Sources

• Bridging the Gap Between LLMs and Evolving Medical Knowledge arxiv.org arXiv via serper

Referenced by nodes (2)

• AMG-RAG concept
• MEDQA concept