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
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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
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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
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.