I'd be interested in reading more of your findings!
Are you able to accomplish this with prompt-engineering, or are you doing fine-tuning of LLMs / custom-trained models?
Are you able to accomplish this with prompt-engineering, or are you doing fine-tuning of LLMs / custom-trained models?
A lot of the netlists are electrically nonsense when it's doing synthesis for me. Have you found otherwise?
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.