In this article for Techstrong AI, Sulagna Saha explores the development of advanced reasoning capabilities in Agentic AI, focusing on how these systems acquire and refine their intelligent decision-making processes. She investigates the sources and techniques employed in training AI to simulate human-like reasoning, questioning the implications for future technology. This article was inspired by a talk on agentic AI given by Stephen Foskett during AI Data Infrastructure Field Day 1.
