A user wants a language model to generate a summary of a complex scientific article for a non-expert audience. The user's first attempt and the model's output are shown below:
Initial Prompt: "Summarize this article."
Model's Output: A highly technical summary filled with jargon, acronyms, and complex terminology directly from the article, making it difficult for a layperson to understand.
The user recognizes the output is not suitable for the intended audience. Which of the following revised prompts represents the most effective and logical next step to guide the model toward 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
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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A user wants a language model to generate a summary of a complex scientific article for a non-expert audience. The user's first attempt and the model's output are shown below:
Initial Prompt: "Summarize this article."
Model's Output: A highly technical summary filled with jargon, acronyms, and complex terminology directly from the article, making it difficult for a layperson to understand.
The user recognizes the output is not suitable for the intended audience. Which of the following revised prompts represents the most effective and logical next step to guide the model toward the desired outcome?
Analyzing a Prompt Refinement Process
A user wants to generate a short, witty marketing slogan for a new brand of eco-friendly coffee beans. Arrange the following prompts in the most logical order of refinement, from the initial vague attempt to the final, most effective prompt.