- In short
- Prompt construction can introduce bias the task never intended. Leading phrasing, unbalanced few-shot example sets, and assumptions baked into an instruction can all steer output in unintended directions. An unbalanced few-shot set that shows only one kind of case teaches the model that case as the norm. The discipline against prompt-introduced bias is neutral phrasing, examples balanced across the cases the system will actually see, and checking whether the prompt presumes an answer it should instead be eliciting.
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