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Grasping and generating human language poses intricate challenges for artificial intelligence (AI). AI employs various fundamental strategies to confront this intricate task.
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While AI has made notable strides in comprehending and generating human language, hurdles persist, particularly in domains such as managing ambiguity, context, and crafting responses akin to human thought. Scholars persist in exploring innovative methodologies and frameworks to enhance language comprehension and generation within AI systems.
