Large language models process and generate text by predicting patterns across billions of examples, enabling natural interaction and reasoning.

Large language models are the linguistic foundation of Decidr’s reasoning layer. They translate human ideas into machine-readable structure and back again. Inside Decidr, these models act as conversational interpreters, helping bridge the gap between what people mean and what systems need to understand to act.

Think of them as translators between imagination and execution. When you describe a goal in plain English, the model decomposes it into data flows, entities, and metrics that agents can execute on. This creates a seamless interface between creativity and computation, turning natural language into operational intelligence.

Over time, large language models evolve with your organisation’s vocabulary. They learn its tone, priorities, and cultural nuances, becoming an embedded voice of understanding. This makes Decidr feel less like a tool and more like a dialogue partner. One who listens, reasons, and responds with precision.