Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...
We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...
Abstract: Research on seismic wave propagation in fluid-bearing reservoirs is crucial for unconventional oil and gas exploration. While traditional wave equation-based simulations are well-established ...
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 ...