Interview guides
Deep study guides for production AI interviews — RAG, agents, MCP, evaluation, and system design — each paired with curated questions.
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5 guides in LLMs · 37 curated questions
LLMsInterviewers will ask you to separate a cheaper model from one that missed the deployment bar. Capability, access, and price are three different answers.
Production interview guide for LLM cost and latency — caching, routing, streaming, rate limits, and semantic caches.
Interview prep for LLM evaluation — classic metrics limits, LLM-as-judge design, offline vs online eval, and red-teaming.
Handbook-style interview prep: why LLMs hallucinate, hallucination types, and production defenses (RAG, guardrails, citations, eval) — asked at OpenAI, Google, Meta, Anthropic, Microsoft, and Amazon.
LLMsGo beyond transformer trivia. Production LLM interviews test token budgets, decoding behavior, hallucination patterns, and how model limitations shape system architecture.