Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether ...

Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why he thinks the latter are key to achieving artificial general intelligence.

Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...

Artificial intelligence tools and large language models are being deployed in infectious disease and critical care at a rate that outpaces the evidence base ...

As recently as 2022, just building a large language model (LLM) was a feat at the cutting edge of artificial-intelligence (AI) engineering. Three years on, experts are harder to impress. To really ...

Seeing as how it takes hours of interactions to really get a feel for what an ai can do, how do they compare? I’ve spent some time on ChatGPT mainly. Claude is supposedly a more sensitive llm? I haven ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

Compare AI Models is a web-based tool designed to help you evaluate and compare different AI models based on key performance ...

Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single token (like “the” or “it”), whereas larger words may be represented by ...