Its core components include machine learning, deep learning, and natural language processing.
Machine learning focuses on algorithms that allow computers to learn from and make predictions based on data without being explicitly programmed for specific tasks.
Deep learning, a subset of machine learning, involves neural networks with many layers that process vast amounts of data in ways that mimic human thought processing.
Natural language processing (NLP) enables machines to understand, interpret, and respond to human language, bridging the gap between human communication and machine understanding.
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