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
LLMOps
Optimize LLM systems with model cascades, semantic caching, context budgeting, batching, fallbacks, and quality guardrails.
Learning objectives
Interview prompts
Prerequisites