ChipNeMo explores the applications of large language models (LLMs) for industrial chip design through domain-adaptive techniques, showcasing superior performance in specialized applications compared to base models.
Large language models can be effectively adapted to the chip design domain through domain-adaptive pretraining, tokenization, model alignment, and retrieval-augmented generation techniques.
Large language models can be effectively adapted for specialized chip design tasks through domain-specific pretraining and alignment techniques.