UQLM is a toolkit for quantifying uncertainty in language models, focusing on detecting hallucinations generated by the model.
UQLM (Uncertainty Quantification for Language Models) is a Python package designed to address the hallucination problem in language models through uncertainty quantification techniques. This toolkit provides a series of methods to evaluate and reduce inaccuracies and inconsistencies in the outputs of language models, thereby enhancing the reliability and usability of the models. UQLM is suitable for research and development environments, helping developers and researchers better understand and optimize language models.
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