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Why Prompting is Hard

Data Skeptic

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Beware of skewed test sets in machine learning

A common failure in machine learning is having a test set where most items are classified to one thing, resulting in a model that falsely appears accurate with a high percentage. In reality, the model is not doing anything useful.

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