Azure Machine Learning
An Azure machine learning service for building and deploying models.
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I previously fine-tuned a few instances of gpt-4 using the standard Azure ML training flow. I am seeing online that Azure ML uses Low rank approximation in order to optimize fine tuning.
I am wondering what rank is used in the LoRA fine-tuning process so that I might determine the memory/flops saved by using Azure ML LoRA instead of running a full backprop on the model.
Thanks!