Introduction
As AI becomes a trusted collaborator in IT operations, development, and decision-making, a new challenge has emerged: reasoning. Unlike simple pattern recognition or next-token prediction, reasoning is the ability of AI to follow logic, understand causality, and derive conclusions from complex inputs. For semi-technical professionals, especially those in IT, understanding how reasoning works in AI can make the difference between deploying a helpful assistant or a hallucinating chatbot. This post dives into what reasoning means in the context of LLMs (Large Language Models), why it matters, and how leading AI players are addressing this frontier.
