Anthropic claims Chinese AI labs ran large-scale Claude distillation attacks to steal data and bypass safeguards.

论文展示的训练曲线表明，在这些任务上，VibeTensor与PyTorch在整体收敛趋势上是高度一致的：loss能够稳定下降，accuracy或perplexity持续改善，没有出现梯度爆炸、训练发散或「跑几步就崩」的情况。

点击上方“Deephub Imba”,关注公众号,好文章不错过 !这篇文章从头实现 LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures。需要说明的是，这里写的是一个简洁的最小化训练脚本，目标是了解 JEPA 的本质：对同一文本创建两个视图，预测被遮蔽片段的嵌入，用表示对齐损失来训练。本文的目标是 ...

这是一本基于最新的Python和PyTorch版本的深度学习著作，旨在帮助读者低门槛进入深度学习领域，轻松速掌握深度学习的理论知识和实践方法，快速实现从入门到进阶的转变。 本书是多位人工智能技术专家和大数据技术专家多年工作经验的结晶，从工具使用 ...

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 ...

Operator learning is a transformative approach in scientific computing. It focuses on developing models that map functions to other functions, an essential aspect of solving partial differential ...

The guide below is devoted to PyTorch – an open-source machine learning (ML) framework based on the Python programming language and the Torch library. We will explore how it works, discuss its key ...

This page describes PyTorch's Python Frontend backwards and forward compatibility policy, which is in effect starting with PyTorch 1.12. This policy lets us provide a modern user experience while ...