Evaluating clinical competencies of large language models with a general practice benchmark
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Researchers are evaluating the clinical competencies of large language models using various benchmarks and methods. The performance of these models in tasks such as clinical reasoning, pharmacotherapy simulations, and laboratory test interpretation is being assessed. The studies appear to be examining the capabilities and limitations of large language models in medical contexts, with some suggesting that they may still be lacking in certain areas, such as clinical reasoning abilities.
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