Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

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 ...

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 ...

Hydrological models represent water movement in natural systems, and they are important for water resource planning and ...

FSU College of Engineering and Florida State University’s Resilient Infrastructure and Disaster Response Center examined ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by ...

2024 is going to be a huge year for the cross-section of generative AI/large foundational models and robotics. There’s a lot of excitement swirling around the potential for various applications, ...

NEW YORK, NY--(Marketwire - Sep 26, 2012) - Errors in financial models that banks use on a daily basis could lead to tremendous financial and non-financial losses. It is crucial for banks to ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...