Prompt Engineering Flashcards PDF
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Summary
These flashcards provide a concise overview of prompt engineering, covering key concepts like clarifying prompts, utilizing different prompt types, adding context, iterative refinement, and avoiding common mistakes. This is useful for understanding how to craft effective prompts to get desired outputs from AI models.
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Flashcard Q: What is prompt engineering? A: It is the process of crafting inputs (prompts) to guide AI models like ChatGPT to produce desired outputs. Flashcard Q: Why is clarity important in prompts? A: Clear prompts reduce ambiguity, making it easier...
Flashcard Q: What is prompt engineering? A: It is the process of crafting inputs (prompts) to guide AI models like ChatGPT to produce desired outputs. Flashcard Q: Why is clarity important in prompts? A: Clear prompts reduce ambiguity, making it easier for the AI to generate relevant and accurate responses. Flashcard Q: What are the two main types of prompts? A: 1) Open-ended prompts: Encourage creative responses. 2) Specific prompts: Guide the AI to provide targeted answers. Flashcard Q: What are the best practices for creating effective prompts? A: - Be specific and clear. - Provide context if needed. - Use examples for complex requests. - Experiment and refine based on the output. Flashcard Q: Give an example of a good vs. bad prompt. A: - Bad Prompt: 'Explain AI.' - Good Prompt: 'Explain the concept of artificial intelligence (AI) in simple terms suitable for a beginner.' Flashcard Q: What is iterative refinement in prompt engineering? A: The process of tweaking a prompt multiple times based on the model's responses to improve the output. Flashcard Q: Why is adding context important in prompts? A: Context helps the AI understand the background and tailor its response to fit the desired scenario or tone. Flashcard Q: Does prompt length affect AI responses? A: Yes. While shorter prompts work for simple tasks, detailed prompts are often better for complex or nuanced outputs. Flashcard Q: How can constraints improve responses? A: Adding constraints like word limits, tone, or specific formats helps guide the AI to meet specific requirements. Flashcard Q: What are common mistakes in prompt engineering? A: - Using vague language. - Ignoring the model's capabilities and limitations. - Not providing examples for complex tasks.
