Is there a benchmark or eval for why this might be a better approach than actually modeling the problem? If you're selling this a non-ML person, I get the draw. But you'd still have to show why using these LLMs would be better than training it with something simpler / more lightweight.
That said, it's likely that you'll get good zero-shot performance, so the model building phase could benefit from fine-tuning the prompt given the dataset - instead of training the underlying model itself.
That said, it's likely that you'll get good zero-shot performance, so the model building phase could benefit from fine-tuning the prompt given the dataset - instead of training the underlying model itself.