How do you validate the performance of a multimodal AI system?
Instruction: Describe the metrics and methodologies you use to assess the performance and accuracy of multimodal AI systems. Fictional results on the same held-out task: audio-only is 82% accurate, image-only 86%, and fusion 90%. Under microphone dropout, fusion falls to 55%, while the image-only fallback remains 86%. Audio is missing on 10% of deployment requests. A release gate requires at least 80% accuracy in each availability slice. Choose the next evaluation and release scope.
Context: This question aims to understand the candidate's approach to performance validation, ensuring they can effectively measure and demonstrate the efficacy of multimodal AI systems.
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Validation needs to cover both outcome quality and modality behavior...