Improve Agentic AI Performance Through Understanding Big O
Currently, the development of Agentic AI technology is overly focused on implementing functions that can operate in large-scale hardware infrastructure environments. A structural review is necessary to ensure that organizations can guarantee performance at a level that is actually usable when building Agent services internally.
Big O notation is a mathematical notation used to describe the performance of algorithms. Specifically, it predicts the performance of algorithms and architectures in terms of time complexity and space complexity. This review process is essential during system design.