It's important to stress here that when we talk about reasoning and thought, we are glossing over the fact that any large language model AI is still no more than a computer crunching through bits ...

In "GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models"—currently available as a pre-print paper—the six Apple researchers start with GSM8K's ...

New reasoning models have something interesting and compelling called “chain of thought.” What that means, in a nutshell, is that the engine spits out a line of text attempting to tell the user what ...

Artificial Intelligence (AI) is now a part of everyday life. It powers voice assistants, runs chatbots, and helps make ...

LLMs have been plagued by hallucinations from the very start. Developers are investing huge amounts of money and time into ...

Apple researchers highlight limitations in large language models’ ability to perform accurate mathematical reasoning, citing token sensitivity and probabilistic output.

Neurosymbolic AI Could Be the Answer to Hallucination in Large Language Models. ... Neural-Symbolic Cognitive Reasoning, Springer (2009) and Neural-Symbolic Learning Systems, Springer (2002), and ...

The main problem with big tech's experiment with artificial intelligence (AI) is not that it could take over humanity. It's that large language models (LLMs) like OpenAI's ChatGPT, Google's Gemini ...

In the field of Large Language Models(LLMs) vertical applications, the innovative direction of deeply integrating ...

Looking for the best large language models? Explore our list of the top LLMs in 2025, designed to enhance your tech stack with cutting-edge NLP features.