Storygold What we learn while training a foundation model for parametric CAD: benchmarks, results, and the occasional release.
LoRA is touted as being as effective as full fine-tuning. On spatial reasoning over CAD data it isn't — the low-rank assumption breaks down when the model has to learn something genuinely new.

LoRA is touted as being as effective as full fine-tuning. On spatial reasoning over CAD data it isn't.
GPT-5 performance on parametric CAD generation — syntactically perfect code, dramatically short on geometry.
Introducing BELLA-v1.0-13B — weights, evals, and what it can and can't build yet.
What we're building, why parametric CAD is the right substrate, and why now.
Research posts and early model access.