A Markov chain is a model that uses probability to predict the next state of a system based on the current state. AI, on the other hand, uses algorithms to make its predictions. AI usually involves the use of data-driven techniques such as machine learning, deep learning, and natural language processing to make decisions and predictions. AI is also capable of learning from experience, meaning it can learn from past data and improve its predictions over time. AI is also capable of identifying patterns and making decisions that a human may not be able to make. Therefore, AI is more powerful and sophisticated than a Markov chain.
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