On-Device Training: Efficient training on the edge with ONNX Runtime
Introducing On-Device Training, a new capability in ONNX Runtime which enables training models on edge devices without the data ever leaving the device. Read more
Introducing On-Device Training, a new capability in ONNX Runtime which enables training models on edge devices without the data ever leaving the device. Read more
Model training is an important step when developing and deploying large scale Artificial Intelligence (AI) models. Training typically utilizes a large amount of compute resources to tune the model based on the input dataset. Transformer models, with millions and billions of parameters, are especially compute-intensive and training costs increase with model size and fine-tuning steps Read more