In the authors' experiments, federated fine-tuned medical LLMs answered questions more factually and semantically similar to ground truth when a retrieval step was added, although no error bars or code accompany the results.
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Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models
In the authors' experiments, federated fine-tuned medical LLMs answered questions more factually and semantically similar to ground truth when a retrieval step was added, although no error bars or code accompany the results.