DeepSeek's proposed "mHC" architecture could transform the training of large language models (LLMs) - the technology behind ...
Penn State researchers use large language models to streamline metasurface design, significantly reducing the time and ...
The paper comes at a time when most AI start-ups have been focusing on turning AI capabilities in LLMs into agents and other ...
For the past few years, the recipe for building smarter artificial intelligence has been simple: make it bigger. Add more ...
DeepSeek has published a technical paper co-authored by founder Liang Wenfeng proposing a rethink of its core deep learning ...
A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...
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 ...
Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single token (like “the” or “it”), whereas larger words may be represented by ...
When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...
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