Researchers at The University of Texas at Austin recently received support from the National Science Foundation (NSF) to ...
AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein ...
Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...
GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...
Abstract: As large language models (LLMs) continue to demonstrate exceptional capabilities across various domains, the challenge of achieving energy-efficient and accurate inference becomes ...