DeepRTL bridges the gap between natural language and hardware description languages, creating a unified representation model that both understands and generates Verilog code.

• Addresses both Verilog understanding and generation tasks, unlike previous approaches that focused mainly on generation
• Improves alignment between natural language specifications and Verilog code
• Enhances hardware design automation through specialized large language model fine-tuning
• Creates new possibilities for AI-assisted hardware engineering workflows

This research represents a significant advancement for the engineering community by potentially accelerating hardware design processes, reducing development time, and making hardware design more accessible to those without deep HDL expertise.

DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model