When an enterprise AI system gives an unreliable answer, the usual diagnosis is that the model was not good enough. The usual remedies follow: a stronger model, a longer prompt, more retrieved documents or a larger context window. Each can help. None addresses a failure that is both more common and harder to detect in […]
The post Why Enterprise LLMs Fail Before They Calculate, and What Context Engineering Changes appeared first on Analytics Vidhya.
