Why a smaller, specialised AI "doctor" often outperforms a massive general-purpose "genius"—and how to deploy one without the staggering compute costs. If you had a serious medical concern, would you rather ask the smartest person you know or a trained doctor? This fundamental question illustrates the shifting landscape of foundation models, where the focus is moving away from massive, general-purpose systems toward leaner, specialised "expert models". To deploy these models successfully in an enterprise environment, one must balance three critical pillars: data, architecture, and training. By prioritising data density—using as many as 100+ words per parameter—and rigorously filtering......See More