The AI research community continues to find new ways to improve large language models (LLMs), the latest being a new architecture introduced by scientists at Meta and the University of Washington.

The development of large language models (LLMs) is entering a pivotal phase with the emergence of diffusion-based architectures. These models, spearheaded by Inception Labs through its new Mercury ...

Meet the new kids nipping at the heels of the AI giants. MIT Technology Review’s What’s Next series looks across industries, trends, and technologies to give you a first look at the future. You can ...

For many people, the phrase generative AI brings to mind large language models such as OpenAI's ChatGPT. Although LLMs are an important part of the generative AI landscape, they're only one piece of ...

Without large language models, generative AI as we know it wouldn't exist. But LLMs are also subject to some significant limitations -- including a propensity to hallucinate, extensive demand for ...

As vision-centric large language models move on-device, performance measured in raw TOPS is no longer enough. Architectures need to be built around real workloads, memory behavior, and sustained ...