Basis Research Institute AI Engineer Interview Questions
The questions to prepare for a Basis Research Institute AI Engineer interview. Questions from real interview reports rank first. Updated weekly.
Design a grounded document Q&A system and explain how vector search improves retrieval quality, latency, and hallucination control in RAG.
Basis Research InstituteExplain LLM hallucination and give three practical ways to reduce it using grounding, prompting, and evaluation.
Basis Research InstituteDesign an LLM serving system that balances latency, cost, scalability, and safety for production traffic.
Basis Research InstituteDiagnose why a model is underperforming and decide whether the issue is thresholding, class balance, or a deeper data problem.
Basis Research InstituteExplain how to diagnose and reduce overfitting using regularization, cross-validation, and model selection.
Basis Research InstituteDesign a pipeline for a real-time operational dashboard, covering streaming ingestion, modeling, data quality, and dashboard serving.
Basis Research InstituteExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
Basis Research InstituteDesign a personalized recommendation system that turns user preferences into ranked suggestions with retrieval, ranking, and feedback loops.
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