AI Metrics Decoded: The Numbers That Actually Matter in Production
Why You Need to Know This (Before Your First Production Incident)
Picture this: your team picks a 70B parameter model for a new feature. It runs great on your MacBook. You push to production. The GPU bill arrives. Your manager is not happy.
Or this: your AI API costs explode halfway through the month and nobody knows why.
These are not horror stories. They happen to real engineers — usually the ones who skipped learning the core units of measurement behind AI systems.
