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How does AI balance accuracy and efficiency in real-world use cases?
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Answer Posted / Ayushi Srivastava
AI balances accuracy and efficiency by using techniques such as model pruning, regularization, and early stopping to prevent overfitting. These methods help reduce the complexity of models while maintaining their predictive power, thus improving their ability to generalize well on unseen data without sacrificing performance. Additionally, AI systems can be designed to adapt to changing conditions by continually learning from new data.
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