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Typically, AI systems work by absorbing large amounts of labeled training data, analyzing the data for correlations and patterns, and using these patterns to predict future states. Thus, a chatbot receiving text chat examples can learn how to make a realistic exchange of opinions with people, and an image recognition tool can learn how to identify and describe objects in images by looking through millions of examples.