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Driving chemical transformations through the power of solar energy
Sunlight is a powerful energy source that scientists can leverage to unlock important chemical conversions. In a recent study ...
Researchers Stunned as AI Improves Itself Towards Superintelligence
These performance benchmarks highlight the potential of self-improving systems to redefine the landscape of AI research. By ...
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Microsoft's rStar-Math enables small language models to ace complicated math problems
Microsoft Research Asia has developed a training method called rStar-Math that enables small language models to match or exceed the math performance of much larger AI systems, such as OpenAI's ...
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SepLLM: A Practical AI Approach to Efficient Sparse Attention in Large Language Models
Large Language Models (LLMs) have shown remarkable capabilities across diverse natural language processing tasks, from generating text to contextual reasoning. However, their efficiency is often ...
Microsoft says 'rStar-Math' demonstrates how small language models (SLMs) can rival or even surpass the math reasoning capability of OpenAI o1 by +4.5%
Microsoft enhances the capabilities of small language models (SLMs) with rStar-Math. The technique boosts the capabilities of SLMs, allowing them to compete or even surpass the math reasoning ...
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Microsoft introduces rStar-Math, an SLM for math reasoning and problem solving
A team of math and AI researchers at Microsoft Asia has designed and developed a small language model (SLM) that can be used to solve math problems. The group has posted a paper on the arXiv preprint ...