Representation design matters more than model size: a semantically-grounded code format for PCB schematics lets smaller LLMs outperform larger general-purpose models on hardware design tasks.
SchGen is the first AI system that generates PCB schematics from natural language descriptions. The key innovation is a new code-based representation that focuses on semantic relationships (like component connections) rather than geometry, making it easier for language models to learn. The authors also built a large dataset by converting open-source hardware designs into this representation.