We survey a current, heated debate in the artificial intelligence (AI) research community on
whether large pretrained language models can be said to understand language—and the …

Large language models (LLMs) represent a major advance in artificial intelligence and, in
particular, toward the goal of human-like artificial general intelligence. It is sometimes …

Generative artificial intelligence has the potential to transform many of our projects, from art
and education to business and security. AI's promise in these areas comes largely from its …

Do large language models (LLMs) constitute a computational account of how humans
process language? And if so, what is the role of (psycho) linguistic theory in understanding …

Large language models (LLMs) have been transformative. They are pretrained foundational
models that are self-supervised and can be adapted with fine-tuning to a wide range of …

The last decade has yielded dramatic and quite surprising breakthroughs in natural
language processing through the use of simple artificial neural network computations …

Artificial intelligence (AI) research enjoyed an initial period of enthusiasm in the 1970s and
80s, but this enthusiasm was tempered by a long interlude of frustration when genuinely …

Large language models are powerful systems that excel at many tasks, ranging from
translation to mathematical reasoning. Yet, at the same time, these models often show …

The transformers that drive chatbots and other AI systems constitute large language models
(LLMs). These are currently the focus of a lively discussion in both the scientific literature …

As the computational power of our world intensifies, so does our reliance on large language
models. These models, boasting billions to trillions of parameters, have started to exhibit a …