LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Brown University professor caught 50+ students cheating with AI on a compassionate take-home exam, exposing gaps in academic ...

Huskies in Michigan Tech's statistics bachelor's degree program don't just participate in impactful research, they take the ...

Statistics courses teach practical data analysis skills that can be used in real jobs and business projects. Relevant statistics certifications can help students and professionals enhance their career ...

Statistical inference for binomial data addresses the analysis of outcomes that can take one of two values, typically termed “success” or “failure”. Central to this domain is the estimation of the ...

A significant shift is under way in artificial intelligence, and it has huge implications for technology companies big and small. For the past half-decade, most of the focus in AI has been on training ...

It’s getting tougher to assess how much university students have learnt. In his work as a Mathematical Statistics lecturer, Michael von Maltitz has tried a new way of getting students to learn, and of ...

While the tech world obsesses over headlines about the $100 million price tag to train GPT-4, the real economic story is happening in inference: the ongoing cost of actually running AI models in ...

Milestone articles have highlighted the frequency and types of statistical errors in research,1–5 yet fundamental errors persist across various disciplines. With a background in biostatistics and over ...

The creators of the open source project vLLM have announced that they transitioned the popular tool into a VC-backed startup, Inferact, raising $150 million in seed funding at an $800 million ...

be able to use counterfactuals to express and interpret causal queries; be able to judge when standard statistical methodology is appropriate for causal inference, and when it is not; be able to use ...