WIRED spoke with Boris Cherny, head of Claude Code, about how the viral coding tool is changing the way Anthropic works.
To match the lip movements with speech, they designed a "learning pipeline" to collect visual data from lip movements. An AI model uses this data for training, then generates reference points for ...
Stage-1 Generation: The code in this stage is mainly built on the PyTorch framework. Specifically, it requires PyTorch version 1.10.0 or later, along with the ...
YOLO系列算法作为一种实时目标检测框架,以其高效性和准确性在目标检测领域得到了广泛应用。YOLOv11作为最新的版本 ...
Abstract: The Mixture of Experts (MoE) model is a promising approach for handling code-switching speech recognition (CS-ASR) tasks. However, the existing CS-ASR work on MoE has yet to leverage the ...