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Why Prompting is Hard
Data Skeptic
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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