The model relies on patterns learned during training and the specificity of the request. Clear constraints and an explicit output format reduce ambiguity when demonstrations are absent.
Zero-shot prompting asks a model to perform a task from instructions without providing worked examples.
The model relies on patterns learned during training and the specificity of the request. Clear constraints and an explicit output format reduce ambiguity when demonstrations are absent.