Improving AI Models: Automated Tool Detects Silent Errors in Deep Learning Training

Improving AI models: Automated tool detects silent errors in deep learning training

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, saving time and resources.

Automated tool detects silent errors in deep learning training - Tech and Science Post

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, saving time and resources. A new open-sourced framework developed at the University of Michigan proactively detects silent errors as they happen during deep learning training. These difficult-to-detect issues do not cause obvious training failures, but quietly degrade model performance while wasting valuable resources and ti…