Senior interview question

How would you assess whether an AI feature is ready for production?

Model answer

Check each layer with evidence: evaluated and pinned models, routing and a gateway; independent fallbacks and degraded modes; enforced budgets; metrics, traces and an incident process; guardrails and flagged, canaried releases. Turn gaps into a list ranked by likelihood × harm against effort, each with an owner, a date and the evidence that will show it's done.

Practise the rest

6 When to fine-tune questions, 492 in all, each with a model answer. Free.

Read the lesson Practise When to fine-tune

When should you fine-tune instead of prompting?
RAG or fine-tuning?
Give good reasons to fine-tune.
Why does full fine-tuning need so much memory, and what does LoRA change?
Make the case against fine-tuning for a team that wants to.

Model answer

More When to fine-tune interview questions

Model answer

More When to fine-tune interview questions