The human brain processes spoken language in a step-by-step sequence that closely matches how large language models transform ...

Despite advances, AI models continue to be geared towards the needs of English-speaking people in high-income countries.

To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more ...

Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...

The U.S. military is working on ways to get the power of cloud-based, big-data AI in tools that can run on local computers, draw upon more focused data sets, and remain safe from spying eyes, ...

Millions of people already chat about their mental health with large language models (LLMs), the conversational form of ...

There is an all-out global race for AI dominance. The largest and most powerful companies in the world are investing billions in unprecedented computing power. The most powerful countries are ...

Llama has evolved beyond a simple language model into a multi-modal AI framework with safety features, code generation, and multi-lingual support. Llama, a family of sort-of open-source large language ...

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 ...