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AI Interview Blog

Deep study guides for production AI interviews — RAG, agents, MCP, evaluation, and system design — each paired with curated questions.

Guides: 49
Questions: 298
Topics: 27

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2 guides in Fine-Tuning · 9 curated questions

Fine-Tuning

RLHF and DPO Interview Guide: Alignment, Preference Data, and Production Risks

Alignment interviews cover preference data quality, DPO versus PPO trade-offs, reward hacking, and how post-training choices affect downstream agent reliability.

Jun 21, 202635 min read4 questions

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Fine-Tuning

Fine-Tuning vs RAG: Decision Framework for Production AI Systems

Interviewers want a decision framework—not a tribal preference. Learn when fine-tuning, RAG, or both wins on freshness, cost, compliance, and evaluability.

Jun 18, 202637 min read5 questions

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All interview guides

RLHF and DPO Interview Guide: Alignment, Preference Data, and Production Risks

Fine-Tuning vs RAG: Decision Framework for Production AI Systems

All interview guides

RLHF and DPO Interview Guide: Alignment, Preference Data, and Production Risks

Fine-Tuning vs RAG: Decision Framework for Production AI Systems