ChatGPT Internals Explained for Developers : ChatGPT internal working - 1

You use ChatGPT every day. But do you actually know what happens the moment you hit Send? Most developers have no idea what's running behind the scenes — and that gap is exactly what separates a good developer from a great AI engineer. In this video, I break down the complete internal flow of ChatGPT and modern chat apps — step by step, no code, no fluff: 🔹 How your message travels from the UI to the backend server 🔹 How the prompt is constructed before it ever reaches the model 🔹 How conversation history is stored and retrieved for context 🔹 What a tokenizer actually does to your text 🔹 How the LLM API processes your request and generates a response 🔹 How the final response is decoded, filtered, and sent back to you This is the system design knowledge that senior AI engineers carry in their heads — and most tutorials skip it entirely. If you're building with AI, integrating LLMs into products, or just want to stop being a black-box user — watch this first. 🔔 Subscribe — next video we go hands-on and code this entire pipeline from scratch in Python. 💬 Join the DipsCode Discord for notes, tasks & live sessions: ────────────────────────────────────── 🗂️ SERIES: GenAI From Zero to Production Part 1 → ChatGPT Internal Architecture (this video) Part 2 → Build It in Core Python (coming next) ────────────────────────────────────── #ChatGPT #GenerativeAI #AIEngineering #LLM #SystemDesign