Re:Testing Generative AI for Circuit Board Design
by seveibar on Friday June 21, 2024 @04:57PM
(#40753723)
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.
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Re:Testing Generative AI for Circuit Board Design
by DHaldane on Friday June 21, 2024 @07:21PM
(#40754868)
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?
Re:Testing Generative AI for Circuit Board Design
by seveibar on Friday June 21, 2024 @08:56PM
(#40755317)
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.