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 ...
Academic project websites can more effectively disseminate research when they clearly present core content and enable intuitive navigation and interaction. However, current approaches such as direct ...
Abstract: Coffee, a commodity of global importance, is the second-most traded product and is widely consumed across the globe. Nevertheless, the leaves of the coffee plant are susceptible to fungal ...
Abstract: This research presents the development of an anomaly and data breach detection system using Python to analyze internet traffic logs. When comparing various machine learning algorithms, it ...
Microsoft has warned that information-stealing attacks are "rapidly expanding" beyond Windows to target Apple macOS environments by leveraging cross-platform languages like Python and abusing trusted ...
Recent major cloud service outages have been hard to miss. High-profile incidents affecting providers such as AWS, Azure, and Cloudflare have disrupted large parts of the internet, taking down ...
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