chunk_content: ghts are frozen, and train and update a smaller set of prompt parameters for each downstream task instead of fully finetuning a separate model. As models grow larger and larger, prompt tuning can be more efficient, and results are even better as model parameters scale.
  💡 Read The Power of Scale for Parameter-Efficient Prompt Tuning to learn more about prompt tuning.
  This guide will show you how to apply prompt tuning to train a bloomz-560m mode