Design ML Pipeline

Design an end-to-end ML system architecture for a given problem.

Arguments

$ARGUMENTS - The ML problem to design for (e.g., "recommendation system", "fraud detection", "search ranking", "content moderation")

Workflow

1. Clarify requirements by understanding:
   • What predictions are being made?
   • What is the latency requirement? (real-time vs batch)
   • What is the scale? (QPS, data volume)
   • Who are the consumers of predictions?