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Is labeled prompt optimization currently supported with vision models too? If I'm understanding ImageQALoss, it doesn't support any sort of ground truth input for comparison. Would we use MultiFieldEvaluation for the loss eval?
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Is labeled prompt optimization currently supported with vision models too? If I'm understanding ImageQALoss, it doesn't support any sort of ground truth input for comparison. Would we use MultiFieldEvaluation for the loss eval?
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