Why is perplexity important for evaluating language models?
Hey there! I'm super curious about something! Why is perplexity such a crucial factor when it comes to evaluating language models? I mean, it sounds fascinating! How does it help us understand their performance and effectiveness? I'd love to dive deeper into this topic and learn more about its significance!
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