chunk_content: re injected in the attention and feedforward modules
  in a typical transformer-based architecture. These learned vectors are the only trainable parameters during fine-tuning, and thus the original
  weights remain frozen. Dealing with learned vectors (as opposed to learned low-rank updates to a weight matrix like LoRA)
  keeps the number of trainable parameters much smaller. 
  Being similar to LoRA, IA3 carries many of the same advantages: 
  IA3 makes