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An AI system is only as useful as its ability to produce correct results, handle real-world loads, and avoid harmful side effects. These three qualities - accuracy, efficiency, and safety - form the backbone of any production-grade AI deployment. Without all three, even a technically impressive model can fail in practice. Accuracy: Getting the Answer Right Accuracy in AI engineering means the system produces outputs that match the intended goal. For a classification model,