GenAI Interview Preparation

What interviewers actually ask, resume screening, depth signals

Context window, tokenization, embedding, attention — with model answers

Architecture, chunking, similarity search, failure modes

LoRA, QLoRA, when to fine-tune, full vs PEFT

The 4-factor framework: cost, performance, privacy, ease

Problem → solution → deployment → followups

Walking through Claim Tracker in an interview

Only write what you can explain, project-to-job-description matching

Problem → data → model → deploy → monitor narration

Practice all 10 interview questions from the course with model answers