Llama-LIME

Llama-LIME is a Python library that uses large language models (LLMs) to generate intuitive, human-readable explanations for black-box machine learning predictions.

This is Llama-LIME: a specialized Python library engineered for explainable AI (XAI). It integrates with popular frameworks: specifically, it supports scikit-learn and PyTorch models. The core function leverages the power of LLMs, such as OpenAI's GPT-4, to translate complex model attribution data into clear, natural language explanations. For example, after a Random Forest Classifier makes a prediction on an Iris dataset, Llama-LIME provides a simple, narrative breakdown of the features that drove the outcome, ensuring clarity and trust in the model's decision-making process.

https://pypi.org/project/llama-lime/