Vibe coding has its thrills, but LLMs shine when paired with formal specifications. Learn how test-driven practices, ontologies, and knowledge graphs turn ambiguity into executable, structured intent.

Even if large language models grasp deep concepts like symmetry or linearity, their internal representations remain messy and entangled — opaque to human understanding. This lack of structure may limit their ability to generalise far beyond training data. Pairing them with well-organised, ontological frameworks offers a path toward clarity, verifiability, and deeper reasoning.

Discover how large language models and knowledge graphs are transforming the way organizations leverage both structured and unstructured data. Learn how linking insights back to core business systems can unlock new capabilities and strategic advantages.