Running a multi-model stack is popular for capturing diverse strengths and...
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Running a multi-model stack is popular for capturing diverse strengths and identifying failure modes through comparison. However, proceed with caution. Blindly synthesizing outputs can obscure important model dissent and create a false sense of accuracy