ETH and Stanford Researchers Introduce MIRIAD: A 5.8M Pair Dataset to Improve LLM Accuracy in Medical AI

ETH and Stanford Researchers Introduce MIRIAD: A 5.8M Pair Dataset to Improve LLM Accuracy in Medical AI

Challenges of LLMs in Medical Decision-Making: Addressing Hallucinations via Knowledge Retrieval LLMs are set to revolutionize healthcare through intelligent decision support and adaptable chat-based assistants. However, a major challenge is their tendency to produce factually incorrect medical information. To address this, a common solution is RAG, where external medical knowledge is broken into smaller text pieces that LLMs can retrieve and us…