JetBrains paper explains how a tiny (100M parameters) code completion model was trained. I'm fascinated by SLMs (small language models), and it's always a joy to find when they become more than just toys but useful in the products. You don't need any math or deep learning knowledge to read this paper, it explains the setup and trainig data in plain english most of it will be accessible for an engineer.

Great book as an intro to Stafford Beer ideas on cybernetics and how it could be applied to organizations. Together with Brain of the Firm and The Human Use of Human Beings episodes of GIU podcast it entertained me during the fall 2025.