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How does artificial intelligence learn?

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Artificial intelligence (AI) learns through a process called machine learning, which involves feeding large amounts of data into algorithms that can recognize patterns and make decisions based on that data. This process typically includes data collection, model training, and model deployment. During training, the AI system adjusts its parameters to improve its performance on specific tasks, often with the help of labeled data that provides correct answers for reference. Over time, the AI can improve its accuracy and efficiency by learning from its mistakes and successes.

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