CGI GenAI Engineer Interview Questions
The questions to prepare for a CGI GenAI Engineer interview. Questions from real interview reports rank first. Updated weekly.
Explain a practical approach to fine-tuning an LLM for a specific task, including data, evaluation, and hallucination risks.
CGIReduce hallucinations in a RAG system even when retrieval is already correct, using grounding, verification, and evaluation.
CGIExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
CGIApproach for improving a model's accuracy by checking errors, features, and tuning choices.
CGITests practical coding skills for data cleaning and handling missing data correctly.
CGIExplain a practical approach to fine-tuning an LLM, from tokenization and data prep to training and evaluation.
CGIDesign a low latency RAG system over millions of documents, with scalable retrieval, ranking, generation, and production monitoring.
CGITests your ability to design production-ready ML pipelines across data, training, and deployment.
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