What is prompt engineering?
PICTURE THIS: DATA SPLIT
Fit on train, tune on val, report on test once.
Simple meaning
It is writing clear instructions, context, and examples so the model does the task you want.
WHY — Tokens instead of words?
LLMs use tokens (not full words) because it helps them:
who only read docs from people who shipped.
and tied to GenAI / LLM work.
Each piece maps to a number the network can learn.
Fixed pieces are what transformers expect as input.
STEPS — What happens step by step?
Before you speak the answer, walk the interviewer through these steps:
- 1It is writing clear
instructions, context, and examples so the model does the task you want.
- 2Good prompts set role,
format, and constraints.
- 3It is product work,
not magic.
- 4Give an example
One tiny concrete case you can say aloud.
- 5Common mistake
What juniors usually get wrong.
- 6Close
When you pick this over the alternative.
EXAMPLE — See it in action
Here's a short line you can speak, broken into clear beats:
Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.
Key takeaway
It is writing clear instructions, context, and examples so the model does the task you want. Good prompts set role, format, and constraints.