What alternatives exist for measuring model performance besides perplexity?
Hey everyone! So, I've been diving into model performance metrics and I keep hearing about perplexity. But I'm curious—what other ways are there to measure how well a model is doing? Are there any alternatives that you find useful or more relatable? Would love to hear your thoughts!
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