Easy Fine-tuning vs RAG Question 45 of 223

When would you choose RAG over fine-tuning?

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

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Simple meaning

Choose RAG when knowledge must stay fresh, be cited, or remain outside the weights for privacy reasons.

WHY — Fine-tuning vs RAG instead of guessing?

Why interviewers care about Fine-tuning vs RAG:

They are checking judgment

on Fine-tuning vs RAG.

A good answer names

the situation, the default choice, and one exception - that reads as experience.

Stay structured

Name the idea, why it exists, then one short example.

Close cleanly

End with when you use it and one common pitfall.

STEPS — What happens step by step?

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

1
Choose RAG when knowledge
must stay fresh, be cited, or remain outside the weights for privacy reasons.
2
It is cheaper to
update an index than to retrain.
3
Fine-tuning is a better
fit for style and specialized behavior, not a living knowledge base.
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

“It is cheaper to update an index than to retrain.”

Break into beats

Itischeapertoupdatean

Speaking order

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

Key takeaway

Choose RAG when knowledge must stay fresh, be cited, or remain outside the weights for privacy reasons. It is cheaper to update an index than to retrain.