When drafting a prompt, what should 'data' refer to?

In the context of drafting a prompt, 'data' refers to the specific content to generate. This is essential because a prompt typically outlines what you want the system to produce—whether it's text, answers to questions, or other forms of content. Defining clear and specific data allows for more precise and relevant outputs, as it guides the system on the expected information or response.

When the prompt is well-structured with specific content in mind, it increases the likelihood of receiving high-quality results that meet the user's requirements. For instance, if a user wants a summary of a particular event, the prompt should specify that event, directing the generation process towards that focused topic.

Contextual elements, volume of interactions, and feedback on previous outputs, while important in various aspects of data handling and refining, do not directly pertain to what 'data' means in the scope of forming a prompt. These aspects can influence the overall performance and adaptability of a system but are not the core focus when defining 'data' in relation to prompt drafting.