Learn Before
Example of Tailoring a Prompt for a Younger Audience
To make a complex topic like climate change accessible to a younger audience, a detailed prompt can be modified. For instance, a general prompt can be tailored for a 10-year-old by specifying the use of simple terms and adding constraints. An example of such a modified prompt is: 'Explain the causes and effects of climate change to a 10-year-old child. Talk about how it affects the weather, sea levels, and temperatures. Also, mention some things people are doing to help. Try to explain in simple terms and do not exceed 500 words.' This approach simplifies the language, focuses on relatable impacts, and sets a word limit to maintain engagement.
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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
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Example of Tailoring a Prompt for a Younger Audience
A user wants a simple, easy-to-understand explanation of how a car engine works. They use two different prompts with a large language model:
- Prompt A: 'Explain how a car engine works.'
- Prompt B: 'Explain how a car engine works to someone who knows nothing about cars.'
The user finds the output from Prompt B is significantly clearer and more effective for their needs. Which statement best analyzes the primary reason for this difference in output quality?
Rewriting a Prompt for a Specific Audience
Evaluating Prompt Effectiveness for a Specific Use Case
Learn After
A user wants to explain the concept of 'the water cycle' to a 9-year-old using a large language model. Their initial prompt is simply: 'Explain the water cycle.' Which of the following revised prompts is the most effective for achieving this goal?
Crafting a Prompt for a Young Audience
Analyzing a Prompt for a Young Audience