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

This AI Agent inference model has only 14 billion parameters, yet it surpassed the 671 billion parameter DeepSeek-R1 (79.8%) with an accuracy rate of 80.6% in the AIME24 mathematical reasoning test.

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Your weekly strategic brief on the cyber threat landscape. Uncover the deeper patterns behind attacks, from bootkit malware ...

With only 14 billion parameters, rStar2-Agent is considered "compact" compared to models that often boast hundreds of ...

Coursera, the online learning platform, has announced an expansion of its university and industry partners, including several ...

I spent almost two years after I left the Cyber Protection Brigade working on training. Not traditional military training ...

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