LLMs have delivered real gains, but their momentum masks an uncomfortable truth: More data, more chips and bigger context windows don’t fix what these systems lack—persistent memory, grounded ...

As the first quarter of the 21st century draws to a close, we’re living in an era marked by not only paradigm-shifting technologies but also the unprecedented pace of advancement in these same ...

Researchers from Stanford University's Scaling Intelligence Lab introduced a new inference framework that could help large language models (LLMs) go through potential responses faster. The framework, ...

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 ...