如今，Test-Time Scaling（测试时扩展）已成为提升模型推理能力的关键路径。而在这一浪潮中，块扩散语言模型（Block Diffusion Language Models, BDLMs） 凭借其独特的并行解码能力，被视为超越传统自回归（AR）模型推理效率的有力竞争者。然而，现有的 BDLMs 在面对长链推理时，陷入了一个两难的效率 - ...

As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...

The most popular language models out there may be accessed via API, but open models — as far as that term can be taken seriously — are gaining ground. Mistral, a French AI startup that raised a huge ...

Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today. Large language ...

To stay up to date and work forward in their fields, scientists must have at their fingertips and in their minds thousands of published studies. Large language models (LLMs) show promise as a tool for ...

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models. Two years ago, Yuri Burda and Harri ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Researchers at the MIT Computer Science and ...

For more than a decade, Alexander Huth from the University of Texas at Austin had been striving to build a language decoder—a tool that could extract a person’s thoughts noninvasively from brain ...