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System Design

ML System Design0/18
  • The ML system design interview
  • Define the problem
  • Data pipeline
  • Retrieval (two-tower)
  • Ranking
  • Online serving
  • Evaluation and A/B testing
  • Monitoring and retraining
  • Define the problem (RAG)
  • Retrieval and reranking (RAG)
  • Generation and LLM serving (RAG)
  • RAG evaluation
  • Case study: ad CTR prediction (Google-style)
  • Case study: real-time fraud detection (Stripe-style)
  • Case study: ETA prediction (Uber-style)
  • Case study: multimodal search (CLIP-style)
  • Interview readiness, The 45-minute mock round
Courses/System Design/ML System Design/Case, Fraud detection
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Case study: ETA prediction (Uber-style)

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