The temptation is real, and the logic seems flawless at first glance: modern Large Language Models are objectively better at nuanced language tasks than legacy systems.
They understand sarcasm. They parse messy unstructured text. And with modern structured outputs, you can force them to return perfect JSON.
So, if the LLM is the smartest tool in the box, why are senior architects still writing deterministic if/else statements and using ten-year-old lexicon models? Why not just write a bulletproof prompt and let the LLM handle the whole pipeline?
But when you zoom out from a single prompt in a playground to a production environment processing millions of requests, the paradigm shifts entirely.
À propos de l'auteur
Cyril Noirot
Lead Data Scientist
Data scientist freelance. Je conçois et déploie des systèmes de décision — prévision, pricing, marketing measurement, optimisation.