Naresh i Technologies GenAI Engineer Interview Questions
The questions to prepare for a Naresh i Technologies GenAI Engineer interview. Questions from real interview reports rank first. Updated daily.
Explain how to design, evaluate, and optimize prompts for reliable domain-specific enterprise LLM applications.
Compare fine-tuning and RAG for production, including data flow, updates, cost, latency, quality, and safety tradeoffs.
Discuss the main ethical risks in deploying generative AI, including hallucination, misuse, privacy, and governance.
Explain LLM hallucination and give three practical ways to reduce it using grounding, prompting, and evaluation.
Explain vanishing gradients, diagnose them during neural-network training, and implement architectural and optimization remedies.
Explain the Transformer architecture, its core components, and why it became the standard for sequence modeling.
Explain how the bias-variance tradeoff guides model selection and generalization.
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Explain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.