Why is performance important in AI systems?
Performance is crucial in AI systems as it directly impacts efficiency, accuracy, and user satisfaction.
Can you give examples of how performance affects AI applications?
Sure! In self-driving cars, performance affects safety and navigation. In chatbots, it impacts response time and relevance.
What metrics are used to measure AI performance?
Common metrics include accuracy, precision, recall, F1 score, and latency, depending on the application.
How can we improve the performance of AI models?
Performance can be improved through better data quality, model optimization, and using advanced algorithms.
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