Generative AI & LLMs
Prompt Engineering
7 practice questions. Free questions open a full answer guide; the rest unlock with Pro.
- What is the difference between zero-shot and few-shot prompting, and when would you add examples to a prompt?
- What is chain-of-thought prompting, and when does asking a model to 'think step by step' actually help?Go Pro
- You're standing up a production prompt for an LLM feature and the team keeps tweaking the wording and eyeballing a few outputs. How would you turn that into a disciplined prompt-engineering process you'd trust to ship?Go Pro
- An LLM feature works well on simple inputs but gives inconsistent or wrong answers on harder, multi-step questions. How would you improve the prompt before reaching for a bigger model or fine-tuning?Go Pro
- You're writing a prompt for an LLM feature that has to return a strict JSON object every time. How do you make the model reliably produce valid, schema-correct output?Go Pro
- How would you write a prompt to get an LLM to return reliable, well-structured output that downstream code can parse?Go Pro
- A downstream service needs strict JSON from your LLM step, but the model occasionally returns prose, trailing commentary, or a slightly-off schema. How do you make the output reliable, and where does prompting stop being the right tool?Go Pro
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