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.

Utilizing heterogeneous accelerators, especially GPUs, to accelerate machine learning tasks has shown to be a great success in recent years. GPUs bring huge performance improvements to machine ...

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 ...

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.

If you have a dedicated Graphics Card or GPU, you can force a game to use it instead of Integrated Graphics, using one of these two methods.