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Audience Specification in Prompt Design
A key technique in prompt engineering is to specify the target audience for the LLM's response. By instructing the model to tailor its explanation for a specific group, such as a 10-year-old child, one can guide the LLM to adjust its tone, vocabulary, and complexity to be more appropriate and effective for that audience.
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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 a Simple Prompt for Information Retrieval
Example of a Detailed Prompt for a Complex Topic
Audience Specification in Prompt Design
A user wants to generate a list of creative, healthy, and quick dinner ideas for a busy week. They provide the following initial instruction to a language model: 'Give me some dinner recipes.' The model returns a long, detailed recipe for a complex beef wellington that takes hours to prepare. Which of the following revised instructions best applies the principles of clarity and specificity to achieve the user's actual goal?
Critiquing and Refining a Vague Prompt
Analyzing a Failed Prompt for a Business Summary
A researcher provides a long, technical scientific paper to a language model with the instruction: 'Tell me what this paper is about.' The model responds with a list of keywords and technical terms found in the document. Which of the following statements best evaluates the reason for this undesirable output?
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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