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 proposed study aims to detect spam by utilizing the Radial Base Function and comparing the accuracy of predictions with Naive Bayes. Using machine learning techniques like Naive Bayes ...

This boilerplate is designed to kickstart data science projects by providing a basic setup for database connections, data processing, and machine learning model development. It includes a structured ...

Cybersecurity researchers have disclosed details of a new malware loader called QuirkyLoader that's being used to deliver via email spam campaigns an array of next-stage payloads ranging from ...

Abstract: Mobile Telecom subscriber’s are interrupted by these spams and it becomes necessary for the service providers to take steps to protect the user. In this project, we aim toward developing an ...