Prompt tuning for multi-class classification with watsonx

This notebook is part of a series of notebooks, designed to guide you on how to utilize watsonx.ai Large Language Models (LLMs) for text classification.

The scenario presented in this notebook assumes you have a few hunderds or thousands of labeled text elements in a multi-class setup, that is, each text element is labeled to exactly one class from a given taxonomy.

Some familiarity with Python is helpful. This notebook runs with python 3.10.