A comprehensive framework for testing LLM output consistency across different model versions and parameter configurations. This framework helps detect drift and inconsistencies in LLM responses, ...

The new Forward AI capability builds on the vendor's digital twin and is designed to allow network teams to ask complex questions, understand network behavior, validate outcomes and safely automate ...

1Hadhramout University College of Medicine, Mukalla, Yemen, Rep. Search for other works by this author on: ...

Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi, New Delhi 110016, India ...

Research under classical statistics often relies on precise, determinate data to estimate population parameters. However, in certain situations, data may be indeterminate or imprecise. Neutrosophic ...

School of Computing and Engineering, University of West, London, UK. In recent years, inflation has been a worrying factor for every country, which has become particularly high due to various ...

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...

It has been a big year for repairable-laptop maker Framework. After launching the Framework Laptop 12 and the Framework Desktop this summer, the company is now ...