3 posts
LLM monitoring is the discipline that makes a production language-model system's quality, cost, and performance visible through logging, tracing, and alerts. What to log and how to measure it.
What is LLM cost optimization? Techniques that cut token cost in production: prompt caching, batching, model routing, prompt trimming, RAG context reduction and FinOps discipline.
How do you plan an enterprise AI budget? A pillar cost guide breaking down model/token, cloud/GPU, data, integration, talent, governance and maintenance.