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Chapter 2.1 - LLM Interview Questions

Info Comprehensive interview questions about RAG vs Fine-tuning and advanced architectures.

Tier 1: Fundamentals & Strategy​

Q1: Questions here​

Answer: ans here

Q2: Q2​

Answer: Ans2

Architectural & System Design Questions​

  1. How would you design a scalable AI chatbot architecture?
  2. How would you reduce latency in an LLM application?
  3. How would you manage conversation memory in chatbots?
  4. How would you minimize hallucinations in production?
  5. How would you evaluate LLM output quality automatically?
  6. How would you implement semantic caching in an LLM application?
  7. How would you design an LLM routing system across multiple models?
  8. How would you build a cost-aware inference pipeline?
  9. How would you handle long-context conversations exceeding model limits?
  10. How would you implement observability for production LLM systems?