Researchers at Stanford Explore the Potential of Mid-Sized Language Models for Clinical QA (Question-Answering) Tasks

Recently, there has been remarkable performance on clinical question-answer (QA) tasks by large language models (LLMs) like Med-PaLM 2 and GPT-4. For example, Med-PaLM 2 produced answers to consumer health questions that were competitive with human doctors, and a GPT-4-based system achieved 90.2% on the MedQA task. But these models have a lot of problems. […]

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