Large language models already read, write, and answer questions with striking skill. They do this by training on vast ...

This is where Collective Adaptive Intelligence (CAI) comes in. CAI is a form of collective intelligence in which the ...

Nexus proposes higher-order attention, refining queries and keys through nested loops to capture complex relationships.

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

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

Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those ...

What if the next generation of AI systems could not only understand context but also act on it in real time? Imagine a world where large language models (LLMs) seamlessly interact with external tools, ...

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

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 ...