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A team builds a customer service automation system where one LLM agent handles the entire conversation: understanding the customer's issue, querying the database, checking policies, and drafting a response. The system works for simple cases but fails on complex multi-step disputes that involve billing, technical support, and legal compliance simultaneously. A colleague proposes splitting into multiple specialized agents. What is the fundamental architectural motivation for multi-agent systems over single-agent systems?
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Interview Tips

  • 1.Concepts over memorization.
  • 2.Identify trade-offs in every solution.