chunk_content: fficient to train and store a smaller set of prompt parameters than to train all the model’s parameters.
  There are two categories of prompting methods:
  hard prompts are manually handcrafted text prompts with discrete input tokens; the downside is that it requires a lot of effort to create a good prompt
  soft prompts are learnable tensors concatenated with the input embeddings that can be optimized to a dataset; the downside is that they aren’t h