A new open-source framework evaluates small, locally-deployable language models on medical question answering, emphasizing reproducibility alongside accuracy to ensure reliable medical advice. This matters as inconsistent responses from LLMs can lead to misinformation in online health communities; the framework assesses three models using eight quality metrics and highlights significant variability issues even with low-temperature settings.
Read the full article at arXiv cs.CL (NLP)
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