High Safety Question 185 of 223

What is an instruction hierarchy for defending RAG 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

System and developer rules outrank user text, which outranks retrieved content.

WHY — Tokens instead of words?

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

Safety questions separate people

who only read docs from people who shipped.

Keep it short, concrete,

and tied to GenAI / LLM work.

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
System and developer rules
outrank user text, which outranks retrieved content.
2
The model is trained
or prompted to ignore lower-privilege instructions that conflict.
3
It is necessary but
not sufficient
4
still isolate tools and
verify citations.
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

“The model is trained or prompted to ignore lower-privilege instructions that con”

Break into beats

Themodelistrainedorprompted

Speaking order

2987408337471632900

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

Key takeaway

System and developer rules outrank user text, which outranks retrieved content. The model is trained or prompted to ignore lower-privilege instructions that conflict.