In this article, you will learn how to perform multi-label text classification using large language models and the scikit-LLM library, without the need for labeled training data or complex model training.
Topics we will cover include:
What multi-label classification is and why it matters for nuanced text analysis.
How to set up and configure scikit-LLM with a free, open-source LLM from Groq for zero-shot inference.
How to load a real-world dataset and run multi-label sentiment predictions using a familiar scikit-learn-style workflow.
