A man breached Windsor Castle with a crossbow after his large language model (LLM)-based companion encouraged an assassination plan. A father’s question about pi evolved into more than 300 h of ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

Though new regulatory frameworks address fairness, accountability, and safety in AI systems, they often fail to directly ...

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...

Sign language basics explained clearly !! Enormous freshwater reservoir discovered off the East Coast may be 20,000 years old and big enough to supply NYC for 800 years Inside an AI start-up’s plan to ...

What exactly does the Large Hadron Collider do? 😲 Neil deGrasse Tyson explains how this massive machine smashes particles, uncovers hidden forces, and helps scientists understand the deepest secrets ...

Every day, government agencies generate millions of audit log entries tracking system access, financial transactions and data changes across dozens of critical systems. Internal auditors and ...

How large is a large language model? Think about it this way. In the center of San Francisco there’s a hill called Twin Peaks from which you can view nearly the entire city. Picture all of it—every ...

Abstract: This paper presents a comprehensive review and bibliometric analysis of Large Language Models (LLMs) in transportation, exploring emerging trends, challenges and future research.

Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why he thinks the latter are key to achieving artificial general intelligence.

This study introduces MathEval, a comprehensive benchmarking framework designed to systematically evaluate the mathematical reasoning capabilities of large language models (LLMs). Addressing key ...