scikit-llm: a scikit-learn compatible wrapper for integrating LLMs into text analysis pipelines

What it solves

It simplifies the process of using Large Language Models (LLMs) for text analysis tasks by integrating them directly into the scikit-learn ecosystem. This allows users to leverage the power of models like ChatGPT for tasks such as zero-shot text classification without having to leave the familiar scikit-learn API.

How it works

The library provides scikit-learn compatible models, such as the ZeroShotGPTClassifier, which can be used with standard scikit-learn workflows. Users configure their API keys and organization IDs via SKLLMConfig and then use the fit and predict methods to perform text analysis.

Who it’s for

Data scientists and machine learning engineers who are already familiar with scikit-learn and want to integrate LLMs into their existing text analysis pipelines.

Highlights

• Seamless integration with scikit-learn
• Support for zero-shot text classification using GPT models
• Simple configuration for OpenAI credentials
• Provides demo datasets for quick start