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: Documenting software architecture is essential to preserve architecture knowledge, even though it is frequently costly. Architecture pattern instances, including microservice pattern ...
After the CZU fire devastated their community, a group of Boulder Creek residents, firefighters and engineers began meeting regularly to figure out how to better protect their homes and neighbors from ...
Welcome to the Real-Time Sign Language Detection project, where we guide you through building a machine learning model capable of detecting sign language gestures live. Using advanced computer vision ...
Abstract: Software vulnerabilities pose significant risks to the security and integrity of software systems. Although prior studies have explored vulnerability detection using deep learning and ...
TORONTO — As the rapid, unregulated development of artificial intelligence continues, the language people in Silicon Valley use to describe it is becoming increasingly religious. From predicting the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback