You Were Trained. But Are You Ready to Serve?

Introduction The gap between building an LLM and running it in production and what it teaches us about our own careers. We have all met that person. Top of their class. Brilliant in theory. Deep, encyclopedic knowledge in their field. And yet, somehow, they struggle the moment real work lands on their desk. They freeze when faced with ambiguous problems. They slow down under pressure, failing to deliver at the level everyone expected. The world of machine learning has a name for this exact f...