Apple’s recent research paper, “GSM Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models,” challenges the perceived reasoning capabilities of current large ...

Apple researchers have released a study highlighting the limitations of large language models (LLMs), concluding that LLMs' genuine logical reasoning is fragile and that there is "noticeable variance" ...

Artificial intelligence companies like OpenAI are seeking to overcome unexpected delays and challenges in the pursuit of ever-bigger large language models by developing training techniques that use ...

An international research team led by the URV has analysed the capabilities of seven artificial intelligence (AI) models in understanding language and compared them with those of humans. The results ...

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

“I’m not so interested in LLMs anymore,” declared Dr. Yann LeCun, Meta’s Chief AI Scientist and then proceeded to upend everything we think we know about AI. No one can escape the hype around large ...

A comprehensive search was conducted in PubMed, Web of Science, and OpenAlex for literature published between December 1, 2022, and December 31, 2024. Studies were included if they explicitly ...

Microsoft’s new Phi-4, a 14-billion-parameter language model, represents a significant development in artificial intelligence, particularly in tackling complex reasoning tasks. Designed for ...