Model-based interview questions for every major LLM family — know the trade-offs before you walk in.
Model-based questions test whether you understand the strengths, weaknesses, and deployment patterns of each LLM family. Interviewers want you to pick the right model for the job — not just name the newest release.
Compare GPT, Claude, Gemini, and Llama across reasoning, context windows, tool use, cost, and enterprise deployment in the questions below.
Deep explanations with architecture diagrams for every question below.
OpenAI's model lineup changes fast. GPT-4 vs GPT-4o is a model selection question that tests whether you understand latency, cost, multimodal capabilities, and when reasoning depth matters. Critical for any role touching OpenAI APIs in production.
Read full explanationConstitutional AI is Anthropic's differentiator and a must-know for Claude-focused interviews. Go beyond the marketing — explain the self-critique training loop, how CAI compares to RLHF, and practical safety implications for production deployments.
Read full explanationGoogle's Gemini 1.5 Pro long-context window opens use cases impossible with standard LLMs — whole-codebase analysis, multi-hour video, massive document review. Interviewers test whether you understand real limitations behind the 1M token marketing number.
Read full explanationSelf-hosting Llama 3 is a infrastructure-heavy question for ML platform and AI engineer roles at Meta-adjacent companies. Expect deep dives on quantization, vLLM, GPU sizing, and the TCO math that determines build vs buy decisions.
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