Pretty much the same here: it's most useful with a quick way to evaluate how likely the response is to be correct That's why it's so great for code: you can execute what it returns and spot any blatant errors You still need to QA more thoroughly, but that's true of any code
Evaluating AI Code Generation: Testing Methods and Quality Assurance
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