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

Experts who are looking at the changing and evolving designs of neural nets are expressing interest in the idea of “higher-order attention mechanisms” to replace what has been used in AI transformers ...

The paper comes at a time when most AI start-ups have been focusing on turning AI capabilities in LLMs into agents and other ...

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 ...

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.

DeepSeek has published a technical paper co-authored by founder Liang Wenfeng proposing a rethink of its core deep learning ...

Meta’s most popular LLM series is Llama. Llama stands for Large Language Model Meta AI. They are open-source models. Llama 3 was trained with fifteen trillion tokens. It has a context window size of ...

In a major advancement for AI model evaluation, the Institute of Artificial Intelligence of China Telecom (TeleAI) has introduced a groundbreaking metric--Information Capacity--that redefines how ...

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 ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...