本文深入探讨Transformer模型中三种关键的注意力机制：自注意力、交叉注意力和因果自注意力。这些机制是GPT-4、Llama等大型语言模型（LLMs）的核心组件。通过理解这些注意力机制，我们可以更好 ...
A multi-class classification problem is one where the goal is to predict a discrete value where there are three or more possibilities. For example, you might want to predict the political leaning ...
Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...
PyTorch is an open-source machine learning library. While it can be used for a wide range of tasks, it is particularly helpful for the training and inference of deep learning tasks, like computer ...
点击上方“Deephub Imba”,关注公众号,好文章不错过 ! 随着NVIDIA不断推出基于新架构的GPU产品，机器学习框架需要相应地更新以支持这些硬件。本文记录了在RTX 5070 Ti上运行PyTorch时遇到的CUDA兼容性 ...
近日，Hugging Face 联合英国牛津大学团队发布了 LeRobot，这是一个旨在与整个机器人技术栈实现端到端集成的开源库，业内将其称为是「机器人界的 PyTorch」。LeRobot 支持机器人从大规模多模态数据 ...
Deep learning is changing our lives in small and large ways every day. Whether it’s Siri or Alexa following our voice commands, the real-time translation apps on our phones, or the computer vision ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback