For the last few years, chain-of-thought prompting has become the central method for reasoning in large language models. By encouraging models to “think aloud,” researchers found that step-by-step ...

The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...

AI hallucination — when a system produces answers that sound correct but are actually wrong — remains one of the toughest ...

In a blog post shared Wednesday, Mira Murati's startup offered a rare glimpse into some of work its doing to improve AI ...