AI / LLM Basics Interview Questions
What are Guardrails in LLM applications?
Guardrails are the checks and constraints put around a model in a real application to keep its behavior within safe, expected, or on-topic bounds.
- Can filter or block certain categories of user input before it ever reaches the model
- Can also check the model's output before it's shown to a user, catching unwanted content or off-topic responses
- Often combined with a well-crafted system prompt, though guardrails typically add independent checks beyond just prompting
Guardrails exist because a model's own instruction-following isn't a perfectly reliable safety mechanism on its own, so applications commonly add external checks as an additional layer of protection.
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