Large Language Models (LLMs) such as GPT-class systems have entered undergraduate education with remarkable speed, provoking ...
Steve Eisman warns AI boom may rest on flawed assumptions, as slowing gains from large language models threaten chip demand, ...
Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...
This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...
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 ...
Large language models (LLMs) are rapidly being implemented in a wide range of disciplines, with the promise of unlocking new possibilities for scientific exploration. However, while the development of ...
The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...
Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source ...