Hey everyone! 
I just published an open-source, bilingual (EN/ES) guide on the inner workings of Transformers.
If you are interested in the exact math and mechanics behind attention collapse, KV-cache compression, or just want a solid visual step-by-step from scratch, you might find this very useful. It includes reproducible code and connects with my TAF Agent project for practical testing.
Check it out here: Cómo Atienden los Transformers (Language toggle at the top).
Feedback or PRs on GitHub are super welcome! 