Analyze the following scenario. What key component is missing or poorly defined in the intern's prompt, and how does its absence lead to the undesirable output?

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In many common applications, a prompt is structured with two main parts: an instruction that specifies the task to be performed, and the user's input to which the task should be applied. The Large Language Model is then expected to follow the given instruction to correctly process the input.

Components of a Prompt: Instruction and User Input

A simple prompt, represented as $x$, can be formally expressed as a tuple containing two key elements: the instruction, denoted by $c$, and the user input, denoted by $z$. This relationship is captured in the formula $x = (c, z)$.

Tuple Representation of a Simple Prompt

A user wants to generate a one-paragraph summary of a long article. They provide the entire article text to a language model as the prompt, but the model's output is a continuation of the article's topic rather than a summary. Based on the principles of effective prompt structure, what is the most likely reason for this poor result?

Analyzing a Flawed Prompt

Consider the following text provided to a language model:

'Summarize the key points of the following text in three bullet points: The sun is a star at the center of the Solar System. It is a nearly perfect sphere of hot plasma, with internal convective motion that generates a magnetic field via a dynamo process.'

Identify the 'instruction' part and the 'user input' part of this prompt.

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