
Optimizing memory usage in large language models fine-tuning with KAITO: Best practices from Phi-3
The Cloud Native team at Azure is working to make AI on Kubernetes more cost-effective and approachable for…
The Cloud Native team at Azure is working to make AI on Kubernetes more cost-effective and approachable for…
This article will show you how to create a “guest” application that uses the Hyperlight library.
At Microsoft, we are committed to innovation in the cloud-native ecosystem through contributions and leadership from engineers across…
Continuing the ONNXRuntime On-Device Training blog series, we are introducing ONNX Runtime Training for Web.
Get a technical overview of the Microsoft implementation of the DragGAN2 algorithm using ONNX Runtime.
LF AI & Data Foundation announced Recommenders as its latest Sandbox project.
ONNX models can be accelerated with ONNX Runtime, which works cross-platform and provides coverage for many cloud and…
Using ONNX Runtime to unlock the promise of developments in science for solving real world problems.
Building upon the foundation we established earlier, this blog will present comprehensive information about the underlying details of…
ONNX Runtime is a high-performance cross-platform inference and training engine that can run a variety of machine learning…
As we come together in Amsterdam, there are significant headwinds and challenges facing us, but I’m confident that…
Today, we are excited to announce the much-anticipated availability of the OSS Feathr 1.0.