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 ...

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 ...

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

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 ...

Learning how a “large language model” operates. By Kevin Roose In the second of our five-part series, I’m going to explain how the technology actually works. The artificial intelligences that powers ...

Pranam Chatterjee, PhD, assistant professor of bioengineering at the University of Pennsylvania (UPenn), emphasizes that text is all you need for artificial intelligence (AI) models to effectively ...

Systems biology modeling is entering a new phase. For decades, computational models—ODE and PDE systems, stochastic simulations, constraint-based networks, ...