IEEE

VRank: Enhancing Verilog Code Generation from Large Language Models via Self-Consistency

Abstract: Large Language Models (LLMs) have demonstrated promising capabilities in generating Verilog code from module specifications. To improve the quality of such generated Verilog codes, previous ...

AI billionaire’s advice to teens: Master 'vibe coding' — here’s 5 prompts to get started

AI billionaire Alexandr Wang urges teens to master ‘vibe coding’ for a huge career edge. Here’s why it matters — plus 5 AI ...
GitHub

The easiest way to build apps from your Python code

This project is no longer actively maintained. While the code remains available for reference and use, no updates, bug fixes, or new features will be provided. Users are encouraged to seek alternative ...
marktechpost

Run MATLAB-Style Code Inside Python by Connecting Octave with the oct2py Library

In this tutorial, we explore how we can seamlessly run MATLAB-style code inside Python by connecting Octave with the oct2py library. We set up the environment on Google Colab, exchange data between ...
IEEE

HaVen: Hallucination-Mitigated LLM for Verilog Code Generation Aligned with HDL Engineers

Abstract: Recently, the use of large language models (LLMs) for Verilog code generation has attracted great research interest to enable hardware design automation. However, previous works have shown a ...
GitHub

⚡FlashRAG: A Python Toolkit for Efficient RAG Research

FlashRAG is a Python toolkit for the reproduction and development of Retrieval Augmented Generation (RAG) research. Our toolkit includes 36 pre-processed benchmark RAG datasets and 23 state-of-the-art ...