Artificial intelligence has raced ahead in capability, but the question of privacy lingers like a shadow over every large language model (LLM). What happens when models memorise personal data from ...

Japanese AI lab Sakana AI has introduced a new technique that allows multiple large language models (LLMs) to cooperate on a single task, effectively creating a "dream team" of AI agents. The method, ...

In December 2023, Singapore launched a S$70m (US$52m) initiative to build research and engineering capabilities in multimodal large language models (LLMs), including the development of Sea-Lion ...

Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits. MeMo, a ...

Large language models (LLMs) show promise in clinical contexts but can generate false facts (often referred to as “hallucinations”). One subset of these errors arises from adversarial attacks, in ...

With most computer programs—even complex ones—you can meticulously trace through the code and memory usage to figure out why that program generates any specific behavior or output. That’s generally ...

Large language models (LLMs) can assist engineering workflows, but their direct application in structural analysis is fundamentally limited by numerical inconsistencies, prompt sensitivity, and ...