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 ...

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 ...

Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.

DeepZang, a large language model designed for the Tibetan language, was unveiled Sunday in Lhasa, capital of Southwest China's Xizang autonomous region. This language model is the first of its kind in ...

As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

The world's first Tibetan large language model and its application, DeepZang, has been officially unveiled in Lhasa, ...

AI systems that understand and generate text, known as language models, are the hot new thing in the enterprise. A recent survey found that 60% of tech leaders said that their budgets for AI language ...

Last year, I participated in a roundtable discussion on artificial intelligence at Fluke Reliability’s Thought Leadership Day ...