It seems like yesterday, long before there were handheld GPS units, smart phones and even Google Maps that my staff and I were prepping for another set of proof of performance measurements. Drawing ...
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
Thermometer, a new calibration technique tailored for large language models, can prevent LLMs from being overconfident or underconfident about their predictions. The technique aims to help users know ...
FSU College of Engineering and Florida State University’s Resilient Infrastructure and Disaster Response Center examined several types of flood models to highlight their strengths and weaknesses and ...
Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds enterprise system prompt instructions into model weights, reducing inference ...
Researchers have used machine learning to create a model that simulates reactive processes in organic materials and conditions. Researchers from Carnegie Mellon University and Los Alamos National ...