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The "name:content" format can be effectively used for question-answering tasks. By using common abbreviations like 'Q' for 'Question' and 'A' for 'Answer' as labels, a template can be created to clearly structure the prompt for the language model, guiding it to provide an answer to a given question.

Example of a Name:Content Prompt for Question-Answering

You need a language model to answer the question, "What is the capital of Australia?". Using a labeled, structured format where 'Q' represents the question and 'A' represents the expected answer, write the complete prompt you would provide to the model to elicit the answer.

Formatting a Question-Answering Prompt

A developer is building a simple FAQ system and is frustrated with the language model's verbose responses. Based on the interaction below, rewrite the 'Initial Prompt' to guide the model to provide only the direct answer and nothing more.

Refining a Prompt for a Factual Chatbot

A developer is building an automated system to extract factual information from a language model. To ensure the model consistently provides a direct answer without conversational filler, which of the following prompt structures is the most effective and unambiguous for the task?

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