> they’re not nearly as good as training the original model on the data. How are you defining "nearly as good", can you be more specific? It's obvious full fi

> they’re not nearly as good as training the original model on the data. How are you defining "nearly as good", can you be more specific? It's obvious full fine-tuning > [PEFT tuning] but to my understanding the gap isn't that significant, as reported in various papers. (specifically with respects to language models, I'm not familiar with diffusion models).