Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...
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 ...
Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...
Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.
Large language model AIs might seem smart on a surface level but they struggle to actually understand the real world and model it accurately, a new study finds. When you purchase through links on our ...
During a recent episode of Scientific Controversies, LeCun was asked whether large language models (LLMs) can eventually scale up to achieve AGI or if their limitations are already becoming visible., ...
As a primary source instructor, Meregaglia encountered specific limitations of AI to locate and analyze primary sources. For example, AI cannot easily ingest and process PDFs, web archive files, ...
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 ...
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