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Questions and Answers
What is the purpose of starting a task with an action verb in prompt engineering?
What is the purpose of starting a task with an action verb in prompt engineering?
Which of the following is NOT a recommended first question to limit possibilities in prompt engineering?
Which of the following is NOT a recommended first question to limit possibilities in prompt engineering?
In a multi-task request, which of the following best describes the tasks mentioned?
In a multi-task request, which of the following best describes the tasks mentioned?
What type of feedback organization is suggested in the context of multi-task requests?
What type of feedback organization is suggested in the context of multi-task requests?
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When creating a specific program, why is it important to provide user background information?
When creating a specific program, why is it important to provide user background information?
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Study Notes
Prompt Engineering Overview
- Prompt engineering involves creating effective prompts to elicit desired responses from AI models.
- Tasks should begin with action verbs, facilitating clarity in instructions.
Task Types
- Single-task prompts are straightforward (e.g., "Generate a 3-month training program").
- Multi-task prompts require evaluation and prioritization of various insights (e.g., user feedback analysis emphasizing business impact).
Context Setting
- User background information helps tailor prompts to specific needs (e.g., physical condition, professional role).
- Defining success metrics clarifies expected outcomes, enhancing the prompt's effectiveness.
Exemplars
- Including relevant examples in prompts improves output quality but is not always required.
Persona Definition
- Adopting a specific persona while crafting prompts can yield more relevant responses.
- Examples include positioning as a physical therapist, hiring manager, or product manager for targeted inquiries.
Output Format
- Clearly visualize and specify the desired output format (e.g., tables, bullet points, markdown).
- Formats may include emails, summaries, or structured sections based on user requirements.
Tone Adjustment
- Adjust the tone of the output based on context, such as formal for business emails or casual for more relaxed communication.
- Examples of tone variations include enthusiasm, seriousness, or pessimism.
Real-World Application
- Crafting a prompt based on persona, context, task, exemplars, format, and tone can significantly influence AI output.
- Use cases illustrate how to communicate key information effectively (e.g., business updates and project outcomes).
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Description
This quiz focuses on various tasks related to prompt engineering. You will encounter examples that require you to generate, evaluate, and analyze training programs and feedback insights. Test your knowledge and understanding of effective prompt engineering techniques.