This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...

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

Boeing engineers Kevin Kwak (foreground) and Klaus Okkelberg confer with fellow team members Arvel Chappell III and Andrew Riha (both on-screen), who worked together to prototype a large language ...

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 ...

Hyundai Card, Korea’s leading card issuer, is actively embedding generative AI capabilities within its organization by conducting Large Language Model (LLM) training for its leadership group, ...

Artificial intelligence (AI) is rapidly transforming healthcare. AI systems can now detect diabetic eye disease from retinal photos and analyze CT images for signs of early-stage lung cancers and ...

Though new regulatory frameworks address fairness, accountability, and safety in AI systems, they often fail to directly mitigate the subtle communication bias in LLMs that can distort public ...

For 20 years, this computational linguistics competition has inspired new generations of innovators in AI and language ...

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.

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 ...