Understanding LoRA with a minimal example
This article is originally published at https://blogs.rstudio.com/tensorflow/LoRA (Low Rank Adaptation) is a new technique for fine-tuning deep learning models that works by reducing the number of trainable parameters and enables efficient task switching. In this blog post we will talk about the key ideas behind LoRA in a very minimal torch example.
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This article is originally published at https://blogs.rstudio.com/tensorflow/
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