Tool-Assisted LLM Targets RTL Code Generation (UC Riverside, Futurewei)


Researchers from University of California, Riverside and Futurewei published a technical paper titled “LLM4RTL: Tool-Assisted LLM for RTL Generation.” Abstract: “Large language models (LLMs) have facilitated impressive progress in software engineering, code generation, tooling, and systems. Concurrently, a significant body of research has developed which explores a growing variety o... » read more

Largest High-Quality Verilog Dataset for LLM Fine-Tuning (Univ. of Florida)


A new technical paper titled "VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation" was published by researchers at the University of Florida. Abstract "Large Language Models (LLMs) are gaining popularity for hardware design automation, particularly through Register Transfer Level (RTL) code generation. In this work, we examine the curr... » read more