Abstract: The rapid expansion of large language models (LLMs) has led to increasingly frequent interactions between LLM agents and human users, motivating new questions about their capacity to form ...

The final, formatted version of the article will be published soon. Guessing behavior has been an enduring problem that undermines the validity and interpretability of scores from MC items. The ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Abstract: This paper proposes a variational Bayesian inference (VBI) based algorithm for gridless and online estimation of multiple two-dimensional directions of arrival (2D-DOAs), whose number and ...

In this work, we develop a new framework for designing experiments that are robust to model misspecification through generalised Bayesian inference. This repository contains the files needed to ...

In this tutorial, we explore hierarchical Bayesian regression with NumPyro and walk through the entire workflow in a structured manner. We start by generating synthetic data, then we define a ...

As organizations enter the next phase of AI maturity, IT leaders must step up to help turn promising pilots into scalable, trusted systems. In partnership withHPE Training an AI model to predict ...

Cybersecurity researchers have uncovered critical remote code execution vulnerabilities impacting major artificial intelligence (AI) inference engines, including those from Meta, Nvidia, Microsoft, ...

Forbes contributors publish independent expert analyses and insights. Victor Dey is an analyst and writer covering AI and emerging tech. As OpenAI, Google, and other tech giants chase ever-larger ...

They say the holidays are the most wonderful time of the year, but around these parts, we know nothing tops the launch of the annual Popsugar Reading Challenge — our take on a virtual book club that ...