Constructing a Prompt for Expansion
You have the following prompt designed to classify customer feedback as 'Positive', 'Negative', or 'Neutral': Classify the sentiment of the following customer review: [review]. Your task is to use a large language model to generate five new, diverse prompts that accomplish the same classification task. Write the complete instruction you would give to the model to achieve this.
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
Computing Sciences
Foundations of Large Language Models Course
Application in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
Related
A developer has an effective prompt for generating Python code that sorts a list of numbers. To explore other ways to ask for the same outcome, they want to use a language model to generate alternative prompts. Which of the following instructions to the model is best suited for this specific goal?
Constructing a Prompt for Expansion
A researcher has a prompt that successfully extracts key findings from scientific articles: "Identify the main conclusion from the following abstract." To improve their workflow, they want to use a language model to generate a diverse set of alternative prompts for this task. Which of the following instructions to the model would be most effective at generating prompts that vary significantly in their phrasing and approach?