Critique and Refine a Context-Based Answering Prompt
A developer is using a large language model to answer questions based on a provided document. The goal is for the model to generate a helpful, synthesized answer, not just extract a direct quote. Analyze the following scenario, explain why the initial prompt is ineffective, and propose a revised prompt that is more likely to achieve the desired outcome.
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Evaluation in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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A developer is building a system where a language model must answer user questions based on a specific article provided in the prompt. The goal is for the model to generate a helpful, synthesized answer using the article's information, rather than just extracting and repeating a direct quote. Which of the following instructions to the model would be most effective in achieving this specific goal?
Critique and Refine a Context-Based Answering Prompt
The following prompt is designed to make a language model answer questions using only a provided text, while rephrasing the information. Match each component of the prompt to its primary function.
Prompt:
You are an expert researcher. You will be given a user's question and a relevant scientific article. Your task is to answer the question using only the information from the article. It is crucial that you synthesize the information and present the answer in your own words, without directly quoting the source.