Machine learning plays a critical role in AI agents by enabling them to improve their performance over time through experience. AI agents use machine learning algorithms to learn from data, refine their responses, and adapt to changing conditions. This allows them to offer more accurate predictions, better decision-making, and personalized interactions. Machine learning also helps AI agents understand complex tasks, such as recognizing patterns in speech or interpreting emotions, making them more effective in communication and problem-solving.
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