Understanding AI Systems

Artificial intelligence is not a single technology. It is a collection of methods, models, data, software, and infrastructure that work together to produce useful behavior.

Understanding these relationships makes it easier to reason about modern AI systems and the capabilities they provide.

A useful starting point is to separate the model itself from the broader system around it. The model performs computation based on learned parameters, while the surrounding system provides data, interfaces, tools, retrieval, orchestration, and other capabilities.

This distinction becomes increasingly important as AI systems evolve from isolated models into applications that interact with users, external information, and software tools.

Model and System