Large Language Models

Shrinking the frontier: model size at constant capability

Much of the conversation around AI progress focuses on the top of the leaderboard — which model is best today. […]

Efficiency, not scale, is now the main battleground in AI. In the last few weeks Google has advanced on two

RAM AI is pleased to share a new research paper by Tian Guo, Senior Quant, and Emmanuel Hauptmann, CIO &

Moonshot AI, a Chinese AI Lab backed by Ali Baba and Tencent, has just released a breakthrough open-source model: Kimi

EPFL and ETH Zurich will release a large language model this summer, trained on the “Alps” supercomputer. This represents the

What is ARC-AGI? Imagine giving a computer a puzzle that any 8-year-old could solve, but watching it struggle despite having

When AI’s interest conflicts with ours Building on our previous discussions of robot constitutions and the International AI Safety Report,

We might be on the verge of having even more efficient state of the art large language models. Autoregressive transformer

Alibaba announced today the release of QwQ-32B, a compact reasoning model which delivers remarkable performance for its size. The Alibaba

Large Language Models (LLMs) can be improved by using more time and compute before coming up with a better answer