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The following is an example of a prompt designed to restrict a Large Language Model's answers to a provided tabular context:

`You are an expert tasked with generating answers from input queries. You have been provided with a query and corresponding context information, organized in a table where each row represents a useful record. Please generate an answer using only this context information. Ensure that you provide the answer in your own words.`

This prompt instructs the model to adopt an expert persona, use the query and tabular data, and generate a paraphrased answer based solely on the given information.

Prompt Example for Restricting Answers to Tabular Context

Consider the following prompt designed to make a language model answer questions based only on a provided data table:

`You are an expert tasked with generating answers from input queries. You have been provided with a query and corresponding context information, organized in a table where each row represents a useful record. Please generate an answer using only this context information. Ensure that you provide the answer in your own words.`

Critically evaluate this prompt. Identify at least one major strength and one potential weakness. Then, propose a specific modification to the prompt to address the weakness you identified.

Critical Evaluation of a Context-Restricting Prompt

An analyst wants a language model to answer questions using *only* the data from a specific table. However, the model's responses include external information. Based on the case study below, identify the critical omission in the analyst's prompt and suggest a specific instruction to add that would resolve the issue.

Refining a Prompt for Context-Specific Answers

A developer is using a large language model to answer questions based on a specific data table. To prevent the model from inventing information, which part of the following prompt is the most crucial instruction?

`You are an expert tasked with generating answers from input queries. You have been provided with a query and corresponding context information, organized in a table where each row represents a useful record. Please generate an answer using only this context information. Ensure that yo

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