No fine tuning needed, as long as the target language/DSL is fairly natural, just give eg a couple examples of tscircuit React, atopile JotX etc and it can generate compliant circuits. It can hallucinate imports, but if you give it an import list you can improve that a lot.

I've found the same thing - a little syntax example, some counter examples and generative AI does well generating syntactically correct code for PCB design.

A lot of the netlists are electrically nonsense when it's doing synthesis for me. Have you found otherwise?

Netlists, footprint diagrams, constraint diagrams etc. are mostly nonsense. I’m working on finetuning Phi3 and I’m hopeful it’ll get better. I’m also working on synthesized datasets and mini-DSLs to make that tuning possible eg https://text-to-footprint.tscircuit.com

My impression is that synthetic datasets and finetuning will basically completely solve the problem, but eventually it’ll be available in general purpose models- so it’s not clear if its worth it to build a dedicated model.

Overall the article’s analysis is great. I’m very optimistic that this will be solved in the next 2 years.