3Blue1Brown's GPT explainer is the one visual that made the attention mechanism click for me

The attention mechanism specifically, how a model weighs relationships between words and concepts across the full context rather than processing sequentially, is the thing that explains why these models are qualitatively different from previous text prediction approaches. The video makes that mechanism intuitive in a way that a written explanation rarely achieves.

Why this matters practically: understanding how attention works changes how you think about context windows. It is not just a limit on how much you can paste in. It is about which parts of the input the model is weighting most heavily when generating each token. That understanding changes how you structure long prompts and why certain context placement strategies work better than others.

3Blue1Brown makes hard maths feel visual without dumbing it down. This one is worth your time even if you never plan to build anything and just want to understand the tools you are already using.

Does having a mental model of how the underlying architecture works change how you prompt or use these tools?