Thinking like a developer, and leading with those same principles, can help organizations move faster, stay aligned and build ...
With Magistral 1.2, Mistral continues its dual-path strategy: delivering open, efficient models for developers, while scaling enterprise-ready tools with measurable advantages in reasoning, ...
This study by Zhidong Cao, Xiangyu Zhang, and Daniel Dajun Zeng systematically examines the technical, cognitive, and reasoning attributes of Large language models (LLMs). It positions LLMs as a novel ...
Abstract: Traffic data contains deep domain-specific knowledge, making labeling challenging, and the lack of labeled data adversely impacts the accuracy of learning-based traffic analysis. The ...
Abstract: Data augmentation (DA) can significantly strengthen the electroencephalogram (EEG)-based seizure prediction methods. However, existing DA approaches are just the linear transformations of ...