Turning an open-weight model into a high-performing model for your task takes a sequence of well-measured experiments. Teams need to understand what the model will train on, follow how each run is progressing, adjust the training recipe, and identify which checkpoint performs best.

I run marketing for GitHub in Japan and Korea, and events are the heartbeat of it: a recurring webinar series for enterprise developers, community meetups in…

Hello again :) I actually built a tool I want to use - you may find it helpful too.Explaining design styles/layouts/components is a nightmare for…

Hey all! I’ve been prepping for some public-audience and policy-facing writing on open models, so I figured I would share my research materials.