To create innovative generative AI experiences, we must capture user intent accurately, recognizing that the same question can be asked differently by various users.
Understanding the user's likely phrasing and context will enhance our ability to shape prompt engineering and develop effective quality assurance strategies for generative AI.
Evaluating user expectations regarding response content, tone, and format is crucial; preferences may differ between mobile and desktop contexts, influencing response delivery.
By documenting user expectations for generative AI responses, we ensure that our system can adapt to varying user contexts and provide relevant, actionable outputs.
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