The gap between how this is described in the paper vs the blog post is pretty wide. Would be nice to see more accessible writing from research teams — not everyone reading is a ML engineer
Agreed. The practical implications are often
more interesting than the math anyway — smaller
models running locally means you can afford to
run multiple models in parallel for cross-validation,
which changes how you approach tasks like code
analysis or bug detection.