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What are the potential implications associated with high perplexity values in natural language processing? Specifically, how do these elevated values affect model performance, understanding of text complexity, and the overall effectiveness of language generation tasks? Additionally, what insights can be drawn regarding the quality and coherence of generated content?

What are the implications of high perplexity values?

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What are the implications of high perplexity values?

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