But that’s a much narrower definition of reasoning than a lot of people might have in mind. Although scientists are still trying to understand how reasoning works in the human brain — nevermind in AI ...

Large language models have found great success so far by using their transformer architecture to effectively predict the next words (i.e., language tokens) needed to respond to queries. When it comes ...

Researchers at Meta FAIR and the University of Edinburgh have developed a new technique that can predict the correctness of a large language model's (LLM) reasoning and even intervene to fix its ...

What if artificial intelligence could think more like humans, adapting to failures, learning from mistakes, and maintaining a coherent train of thought even in the face of complexity? Enter RAG 3.0, ...