This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in contemporary artificial intelligence.

DeepSeek's proposed "mHC" design could change how AI models are trained, but experts caution it still needs to prove itself ...

The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.

What if you could demystify one of the most fantastic technologies of our time—large language models (LLMs)—and build your own from scratch? It might sound like an impossible feat, reserved for elite ...

DeepSeek, the Chinese artificial intelligence (AI) startup, that took the Silicon Valley by storm in November 2024 with its ...

A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...

As costs of developing AI and the limited amount of available hardware, DeepSeek has presented a new plan for developing and ...

The original version of this story appeared in Quanta Magazine. Large language models work well because they’re so large. The latest models from OpenAI, Meta, and DeepSeek use hundreds of billions of ...

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...