Artificial intelligence – especially large language models are reshaping how we build software, make decisions, and scale knowledge. But beyond the hype, it’s critical to understand how these systems actually work, where they fall short, and how to design around their limitations.
This section explores the foundations of LLMs, their reasoning and planning capabilities, and the architectures required to deploy generative AI responsibly in enterprise environments. The focus is on clarity, mental models, and practical implications—bridging research, platforms, and real‑world use.
