Candidates may be edited by people, generated by a model, or selected by an algorithm against a development set. A separate evaluation set is needed to detect prompts that overfit the optimization cases.
Prompt optimization systematically searches for instructions or examples that improve measured task performance.
Candidates may be edited by people, generated by a model, or selected by an algorithm against a development set. A separate evaluation set is needed to detect prompts that overfit the optimization cases.