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.
Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...
An emerging trend at the intersect of artificial intelligence (AI) and healthcare is to enhance the capabilities of standard LLMs (large language models) using higher quality training datasets and ...