This notebook contains the steps and code to demonstrate support of prompt tuning in watsonx.
In this notebook, you'll see how to upload a dataset, perform prompt tuning, deploy a prompt-tuned asset, and finally evaluate the deployed asset.
Some familiarity with Python is helpful. This notebook uses Python 3.10.