Enhancing a Prompt for Urban Planning
A city planner uses the following prompt to an AI assistant: 'Suggest ways to reduce traffic congestion in a city.' The AI provides generic, non-actionable advice like 'improve public transport' and 'encourage carpooling.' Identify three distinct categories of specific, real-world information (prior knowledge) that the planner could add to the prompt to generate more tailored and practical solutions. For each category, provide a brief justification for why it is important.
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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
Related
A marketing manager is using a language model to generate social media posts for a new product: a reusable water bottle made from recycled ocean plastic. The manager's initial prompt is: "Write three social media posts for a new reusable water bottle." The generated posts are very generic and lack impact. Which of the following revised prompts most effectively incorporates relevant prior knowledge to produce more compelling and targeted marketing content?
Improving a Financial Analysis Prompt
Enhancing a Prompt for Urban Planning