TensorFlow, and ONNX are also supported. NOTE If the Post-Training Quantization algorithm does not meet quality requirements you can fine-tune the quantized pytorch model. You can find an example of ...

A critical vulnerability in the PyTorch distributed RPC framework could be exploited for remote code execution. Impacting the distributed RPC (Remote Procedure Call) framework of PyTorch and tracked ...

Kubeflow Trainer is a Kubernetes-native project designed for large language models (LLMs) fine-tuning and enabling scalable, distributed training of machine learning (ML) models across various ...