What RAG evaluation interviews test beyond recall@k
7 min read A wrong RAG answer is either a retrieval failure or a generation failure, and the interview is mostly about proving you can tell which. Read article
AI/ML Interview Questions
AI/ML Interview Questions
GPTQ, AWQ, and FP8 in the LLM inference interview
6 min read The weight, activation, and KV-cache tradeoffs interviewers probe when they ask how you would shrink a model to fit on one GPU. Read article
AI/ML Interview Questions
Why feature store interviews come down to point-in-time joins
7 min read The ML platform interview question that trips up strong modelers is how you build training data without leaking the future, and how you serve the same feature online. Read article
AI/ML Interview Questions
What MLOps interviewers actually probe about drift and feature stores
7 min read A walkthrough of the drift, training-serving skew, feature-store, and rollout questions MLOps interviewers use to tell production experience from theory. Read article
Tools & Reviews
What actually matters when you pick an MLOps platform
7 min read A working engineer’s take on which MLOps tools earn a place in your stack and which ones you can skip until you actually need them. Read article
AI/ML Interview Questions
MLOps Interview Questions: Pipelines, Monitoring, and Deployment
6 min read MLOps interviews test whether you can build and maintain ML systems in production — not just train models in notebooks. Read article
AI/ML Interview Questions
How to Detect Model Drift in Production
6 min read Model drift is one of the most common production ML failure modes — and one of the most underestimated in Read article
