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A company wants to use a large language model (LLM) to generate concise, feature-specific descriptions for the company's products. Which prompt engineering technique meets these requirements?
Explanation:
Option B is correct because it provides the most effective prompt engineering technique for generating concise, feature-specific descriptions. By creating prompts for each product category that highlight key features and include desired output format and length, the LLM can generate targeted, consistent descriptions that meet the company's requirements. This approach ensures:
Option A is inefficient as it requires manual editing. Option C may generate creative but not necessarily concise or feature-specific descriptions. Option D could work but doesn't explicitly address conciseness through output length specification.