A Multi-Expert Large Language Model Architecture for Verilog Code Generation

arXiv:2404.08029v1 Announce Type: new
Abstract: Recently, there has been a surging interest in using large language models (LLMs) for Verilog code generation. However, the existing approaches are limited in terms of the quality of the generated Verilog code. To address such limitations, this paper introduces an innovative multi-expert LLM architecture for Verilog code generation (MEV-LLM). Our architecture uniquely integrates multiple LLMs, each specifically fine-tuned with a dataset that is categorized with respect to a distinct level of design complexity. It …

abstract architecture arxiv code code generation cs.ai cs.lg cs.pl cs.se expert generated however language language model language models large language large language model large language models limitations llm llms paper quality terms type