Can fine-tuning Large Language Models (LLMs) on a diverse da

Can fine-tuning Large Language Models (LLMs) on a diverse dataset of human-written text be inherently at odds with achieving true human-like intelligence, given that humans learn from experiences and interactions, not just from passively reading and processing vast amounts of text?

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