A new framework called METASCALE enables large language models (LLMs) to dynamically adapt their reasoning mode at inference time. This framework addresses one of LLMs’ shortcomings, which is using ...

Yann LeCun's argues that there are limitations of chain-of-thought (CoT) prompting and large language model (LLM) reasoning.

QwQ-32B challenges AI giants with innovative techniques, open-source accessibility, and exceptional reasoning capabilities.

There's still a lot of juice left to be squeezed, cognitively and performance-wise, from classic Transformer-based, text-focused LLMs.

Optimize your LLM applications with lm.txt and MCP – the ultimate tools for efficient, transparent, and scalable AI context ...

Security was top of mind when Dr. Marcus Botacin, assistant professor in the Department of Computer Science and Engineering, ...

Together, these open-source contenders signal a shift in the LLM landscape—one with serious implications for enterprises ...

The AI race has to date been defined by scale – the larger the parameter-set the better – with Large language models (LLMs) dominating. However, as AI maturity has evolved, there is a growing ...

The emergence of vision language models (VLMs) offers a promising new approach. VLMs integrate computer vision (CV) and natural language processing (NLP), enabling AVs to interpret multimodal data by ...

As organisations seek to implement AI capabilities on edge devices, mobile applications and privacy-sensitive contexts, SLMs ...

This contest to build ever-bigger computing clusters for ever-more-powerful artificial-intelligence (AI) models cannot ...

Over the past few months, we’ve been exploring how generative AI can transform trial preparation by analyzing complex litigation materials ...