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

On Wednesday, Hume launched Octave, a text-to-speech large language model (LLM) with contextual awareness ... the words it is reading based on their meaning, according to the company.

Your news feature outlines how designers of large language models (LLMs) struggle to stop them from hallucinating (see Nature 637, 778–780; 2025). But AI confabulations are integral to how these ...

A standard transformer model analyzes the text before and after a word to understand its meaning. According to ... an open-source LLM that is built specifically to process multimodal data and ...

Abstract: Text style transfer is the task of altering the stylistic way in which a given sentence is written while maintaining its original meaning. The task requires ... The discussion is focused on ...

These neural networks are trained on huge quantities of information from the internet for deep learning — meaning they generate ... very first version of the LLM in 2018. The organization ...

“Transformers have dominated LLM text generation and generate tokens sequentially ... In a post on X, he said that LLMs based on transformers are trained autoregressively, meaning predicting words (or ...