Image, trained entirely on Huawei chips, as Beijing moves to block Nvidia H200 imports in a push for AI self-reliance.

“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

English look at AI and the way its text generation works. Covering word generation and tokenization through probability scores, to help ...

Li, H. (2026) A Study on the Impact of New Media on College Students’ Oral English Learning —Taking English Content Creators on Bilibili as an Example. Open Access Library Journal, 13, 1-18. doi: ...

Most modern LLMs are trained as "causal" language models. This means they process text strictly from left to right. When the ...

Artificial intelligence has moved from science fiction into everyday life, and ChatGPT is the clearest example of that shift.

In The Physics Teacher, a physics professor-turned-AI-researcher explores the uses of generative AI to teach physical science ...

Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...

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 ...

When choosing a large language model (LLM) for use in a particular task, one of the first things that people often look at is the model's parameter count. A vendor might offer several different ...

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention.

Mr. Wu, a contributing Opinion writer, is the author of a forthcoming book on the big tech platforms. There was a time, back in the early 2000s, when everyone seemed to think that the internet would ...