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I wanted to explain what’s at stake right now with the ecosystem of AI, and why I thought it was so important that I dropped everything to focus on consulting exclusively in this field.
When it comes to evaluating AI-generated text, perplexity has been a widely used metric. For those unfamiliar, perplexity is a measure of how well a language model predicts a given sequence of words. Lower perplexity means the text is likely according to the language model. You can think of it as the text ‘flows well’.
We’ve all heard of the Turing Test and its seemingly all-important role in determining whether a machine can mimic human intelligence. But, is it really the ultimate yardstick for AI success, or is it just a piece of hyped-up history that distracts us from what truly matters?
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