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An example of a persona instruction used in a prompt for a grammar correction task is the statement: 'You are a helpful assistant, and are great at grammar correction.' This directive sets the role and expected expertise for the LLM.

Example of a Persona Instruction for Grammar Correction

A prompt for a grammar correction task can be structured to guide a Large Language Model by defining its persona, the nature of the input, and the expected output. For instance, a complete prompt might look like this:

`You are a helpful assistant, and are great at grammar correction.`

`You will be provided with a sentence in English. The task is to output the correct sentence.`

`Input: She don’t like going to the park.`

This example first establishes the model's role as a grammar expert, then specifies the task, and finally provides the actual input sentence, clearly labeled with the 'Input:' field.

Example of a Persona-based Prompt for Grammar Correction

A user is constructing a set of instructions for a language model to perform a grammar correction task. Which of the following lines from their instructions is specifically intended to establish the model's role and expertise?

A user is trying to get a language model to correct grammatical errors but is receiving inconsistent results. Their entire prompt is: `Correct this sentence: I has two apple.` Propose a single sentence that could be added to the beginning of this prompt to establish a clear role and expertise for the model, and explain why this addition would likely lead to more accurate and reliable grammar corrections.

Improving a Grammar Correction Prompt

A user provides a language model with the following instructions to fix a sentence:

"You are a meticulous proofreader with an expert command of the English language.
Correct any grammatical errors in the sentence below.
Sentence: He go to the store yesterday."

Analyze the specific purpose of the first line ("You are a meticulous proofreader..."). Why is this line included, and what effect is it intended to have on the model's response?

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