Circuit Transformer: End-to-end Circuit Design by Predicting the Next Gate

arXiv:2403.13838v1 Announce Type: new
Abstract: Language, a prominent human ability to express through sequential symbols, has been computationally mastered by recent advances of large language models (LLMs). By predicting the next word recurrently with huge neural models, LLMs have shown unprecedented capabilities in understanding and reasoning. Circuit, as the "language" of electronic design, specifies the functionality of an electronic device by cascade connections of logic gates. Then, can circuits also be mastered by a a sufficiently large "circuit model", which …

abstract advances arxiv capabilities cs.ar cs.lg cs.lo design express gate human language language models large language large language models llms next reasoning through transformer type understanding word