On-Device Training with ONNX Runtime: A deep dive
Building upon the foundation we established earlier, this blog will present comprehensive information about the underlying details of training models directly on user devices using ORT.
AI + Machine Learning
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Supporting efficient large model training on AMD Instinct™ GPUs with DeepSpeed
This post was co-authored by Jithun Nair and Aswin Mathews, members of technical staff at AMD. -
Accelerate PyTorch training with torch-ort
With a simple change to your PyTorch training script, you can now speed up training large language models with torch_ort. -
Journey to optimize large scale transformer model inference with ONNX Runtime
With its resource-efficient and high-performance nature, ONNX Runtime helped us meet the need of deploying a large-scale multi-layer generative transformer model for code, a. -
Now on GitHub: The Autonomous Driving Cookbook from Microsoft
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