How can perplexity inform the selection of language models for specific tasks?

Hey, I was wondering how perplexity can help us choose the right language models for different tasks. Like, what’s the deal with using it as a metric? How does it actually impact our decision-making when picking a model for something specific? Would love to hear your thoughts on this!

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