Pro-GenAI/LML-DAP

Language Model Learning a Dataset for Data-Augmented Prediction

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Experimental

This project offers an alternative to traditional machine learning for classification tasks. It takes your raw dataset as input and uses Large Language Models (LLMs) to perform classification, providing results that are both accurate and easy to understand. It's designed for data scientists or analysts who need to categorize information and clearly explain how those classifications were made.

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Use this if you need to classify data and want a clear, explainable understanding of why a certain classification was made, without extensive data cleaning or feature engineering.

Not ideal if you require a production-ready solution, as this code is intended for educational and research purposes only.

data-classification explainable-AI data-analysis predictive-modeling machine-learning-alternative
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 0 / 25

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Last pushed

Sep 18, 2025

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