LLMOps

LLM Cost, Latency, Caching, and Routing

Optimize LLM systems with model cascades, semantic caching, context budgeting, batching, fallbacks, and quality guardrails.

Recommended on day 5595 minutesAdvanced

Learning objectives

  • Measure cost per request, feature, tenant, and user segment
  • Route requests across model tiers without silent quality loss
  • Trade off exact cache, semantic cache, retrieval cache, batching, and context compression

Interview prompts

  • How would you cut LLM cost by 50% while protecting quality?
  • When is semantic caching risky?