Moderate Evals Question 118 of 223

How do you regression-test prompts?

GenAI / LLM · Speak this in 60–90 seconds · Faridabad & Delhi NCR

PICTURE THIS: DATA SPLIT

Train 70%Val 15%Test 15%

Fit on train, tune on val, report on test once.

Simple meaning

Keep a labeled suite, run it on every prompt diff, and fail the build on score drops.

WHY — Tokens instead of words?

LLMs use tokens (not full words) because it helps them:

This is a process

question about Evals.

Panels listen for order,

trade-offs, and what you would actually do on a GenAI / LLM project - not buzzwords.

Stable token IDs

Each piece maps to a number the network can learn.

Fits the model

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:

1
Keep a labeled suite,
run it on every prompt diff, and fail the build on score drops.
2
Include format tests such
as valid JSON and citation IDs present.
3
Track model version together
with prompt version.
4
Give an example
One tiny concrete case you can say aloud.
5
Common mistake
What juniors usually get wrong.
6
Close
When you pick this over the alternative.

EXAMPLE — See it in action

Here's a short line you can speak, broken into clear beats:

Say this line

“Include format tests such as valid JSON and citation IDs present.”

Break into beats

Includeformattestssuchasvalid

Speaking order

2987408337471632900

Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.

Key takeaway

Keep a labeled suite, run it on every prompt diff, and fail the build on score drops. Include format tests such as valid JSON and citation IDs present.