随着量化LLM推理性能的提升、对Intel GPU的实验性支持以及多项新功能的引入，PyTorch 2.8无疑将为研究者和开发者提供更强大的工具，助力他们在AI和机器学习领域的探索与创新。

A team at Stanford has shown that large language models can automatically generate highly efficient GPU kernels, sometimes outperforming the standard functions found in the popular machine learning ...

Read our detailed and comprehensive article on how to force use a dedicated GPU on your laptop or setup to maximize your system performance.

The growth of big data applications during the last decade has led to a surge in the deployment and popularity of machine learning (ML) libraries. On the other hand, the high performance offered by ...

Image-to-image translation is the process of transforming an image from one domain to another, where the goal is to learn the mapping between an input image and an output image. This task has been ...

This novel software library is crafted to bridge the accessibility gap, enabling LLMs to run efficiently on a broader spectrum of Intel CPUs and GPUs. At its core, IPEX-LLM leverages the Intel ...

If the CPU is bottlenecking the GPU, overclock the CPU to troubleshoot the problem, or keep reading this guide for more info.

The open-source PyTorch project is widely used for machine learning (ML) training. Its anticipated 2.0 version is now generally available.

IBM Research has contributed code to the open-source PyTorch machine learning project that could help to significantly accelerate training.