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A smarter way for large language models to think about hard problems
To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more ...
Among patients with suspected obstructive CAD, two simple models that include clinical risk factors both outperform the commonly used pretest probability (PTP) model when it comes to predicting the ...
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