Adding one irrelevant sentence to math problems causes AI systems to make confident mistakes over 300 percent more.

Overview: Large Language Models predict text; they do not truly calculate or verify math.High scores on known Datasets do not ...

“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

Two decades ago, a new way of teaching math drew interest and caught fire across higher education. Instead of having students sit in a lecture hall listening to a professor walk through mathematical ...

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Microsoft has potentially made a breakthrough with small language models (SLMs) after the recent development of a new reasoning technique dubbed rStar-Math. For context, the technique enhances the ...

Yesterday, Nintendo announced a new Switch, the OLED model. There’s a problem though: this isn’t the Pro version of the console that many people were after. This puts lots of us in the strange ...

Nous Research, the San Francisco-based artificial intelligence startup, released on Tuesday an open-source mathematical reasoning system called Nomos 1 that achieved near-elite human performance on ...

There’s a curious contradiction at the heart of today’s most capable AI models that purport to “reason”: They can solve routine math problems with accuracy, yet when faced with formulating deeper ...

Have you ever found yourself frustrated by the limitations of AI models when tackling complex tasks like coding or solving intricate math problems? It’s a common struggle—balancing the need for ...