machine-learning-engineering
Everything on Ground Truth tagged “machine-learning-engineering” — 2 items.
An open 35B model trained to evolve its own machine-learning code nearly doubled its base model's medal rate News
Frontis-MA1, released with full weights and stack, raises its base model's medal average on a machine-learning engineering benchmark from 39.4% to 60.6%, and to 71.2% with a stronger search - all within a 12-hour budget on a single consumer GPU capped at 12GB.
Frontis-MA1-35B Tool
A 35-billion-parameter open model post-trained specifically to write, run, debug and recombine machine-learning code inside an evolutionary search loop. Released with the full OpenMLE stack, so the search framework it was trained for is public too.