UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
Abstract: The increasing incidence of cancer has spurred research across various fields. The digitization of tissue samples stained with hematoxylin-eosin (H&E) enables the acquisition of histological ...
Abstract: Text preprocessing is a key step in Natural Language Processing (NLP) that deals with the cleaning, tokenization and structure of text before building models. A comparison of the recent ...
A Python package for pricing European options using Monte Carlo simulation, featuring variance reduction techniques and publication-quality visualizations. Designed for educational purposes and ...
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