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In the AI development context, "running an experiment" usually refers to a controlled experiment (A/B testing or offline evaluation): holding other variables fixed and changing only one factor (such as model version, prompt template, retrieval strategy, temperature parameter), running the same batch of representative inputs and quantitatively comparing the results.
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10/31/2026
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