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A one-shot prompt for grammar correction enhances a basic prompt by including a single, complete example of the task, known as a demonstration. This allows the language model to learn from the provided context. The structure typically involves defining the model's role and task, presenting one correct input-output pair, and then providing the new input for the model to process. For example:

**DEMO**
*Input:* There is many reasons to celebrate.
*Output:* There are many reasons to celebrate.

**USER**
*Input:* She don’t like going to the park.
*Output:*

Example of a One-Shot Prompt for Grammar Correction

A user wants to guide a language model to correct grammatical errors by providing a single, complete example of the task before giving it a new sentence. Arrange the following components into the most effective and logical sequence for this purpose.

You want a language model to correct the grammatical error in the sentence: "The cat layed on the mat." To guide the model, you decide to provide a single, complete example of a different grammar correction. Construct a complete and effective one-shot prompt that includes a demonstration and the new sentence to be corrected.

Constructing a One-Shot Grammar Correction Prompt

A user wants a language model to act as a grammar corrector. They provide the model with the text below. Analyze this text and identify the primary reason it may fail to guide the model effectively.

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Your task is to correct grammatical errors.

Example Input: "He go to the store yesterday."

Correct this sentence: "She like to reads books."
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Learn Before

Correct this sentence: "She like to reads books."

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