XPO GenAI Engineer Interview Questions
The questions to prepare for a XPO GenAI Engineer interview. Questions from real interview reports rank first. Updated daily.
Design a low latency RAG system over millions of documents, with scalable retrieval, ranking, generation, and production monitoring.
XPOAssesses your techniques to reduce inference latency for large-scale models in production.
XPOCompare RAG and fine-tuning, and decide when each is the better fit for an LLM product.
XPOExplain a practical approach to fine-tuning an LLM for a specific task, including data, evaluation, and hallucination risks.
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Approach for monitoring a model in production and spotting drift, threshold issues, and calibration loss.
XPOAssesses your approach to production monitoring, metrics, and drift detection for GenAI systems.
XPODesign a real-time feature pipeline processing 120K events/sec into low-latency feature tables and warehouse models with replay and quality controls.
XPOEvaluates your privacy and security practices for fine-tuning on sensitive proprietary data.
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