chunk_content: t_trainable_parameters()
  # prints trainable params: 1,064,454 || all params: 56,467,974 || trainable%: 1.88505789139876
  This shows us that we only need to train less than 2% of all parameters, which is a huge efficiency gain.
  For a complete example, check out this notebook.
  