High Safety Question 205 of 223

How do you reduce LLM hallucinations in production?

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

Train 70%Val 15%Test 15%

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

I ground with RAG, constrain output schemas, add citation checks, and keep humans in the loop for high risk.

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

This is a process

question about Safety.

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.

Before you speak the answer, walk the interviewer through these steps:

1
I ground with RAG,
constrain output schemas, add citation checks, and keep humans in the loop for high risk.
2
Why it exists
Lower temperature helps factual tasks.
3
I never trust raw
model text for legal or medical claims.
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.

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

Say this line

“Lower temperature helps factual tasks.”

Break into beats

Lowertemperaturehelpsfactualtasks

Speaking order

298740833747163290

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

I ground with RAG, constrain output schemas, add citation checks, and keep humans in the loop for high risk. Lower temperature helps factual tasks.