How GenAI works — Through the eyes of an Engineer | Practical Pocket Guide

An engineer explains how large language models (LLMs) actually work end to end, covering the context window, tokens, and the black-box nature of the model, in a practical pocket guide aimed at demystifying generative AI.

Member-only story How GenAI works — Through the Eyes of an Engineer |Practical Pocket Guide If you’re not a Medium member and would like to enjoy this article without restrictions, feel free to use the friend link here. https://medium.com/@st.chiotis94/e63eaf721841?sk=36f8204d10123a63bfffd465f796872b Happy reading This is how an LLM actually works — end to end, no any mysticism By the end you’ll know what a “ context window ” really is, why “ tokens” cost you money, and what people mean when they call the model a “ black box ”. I have been absent for some time from “ sharing my ideas” — the way I see the Information Technology world through the eyes of an Engineer . The reason? I went deep to build my skillset even further in a domain that is literally growing inside me right now, and I want to share part of that journey with you in this moment Everyone around me will admit it: I am an engineer who stays relentlessly curiousabout how the world works and how everything is“glued together”— a phrase I use often in my day-to-day work and life. Even though I occasionally feel pure “ awe ” about where we stand technologically, I still see and compare the world around me as an engine. Patterns and systems mechanically…