A 1B small language model can beat a 405B large language model in reasoning tasks if provided with the right test-time scaling strategy.

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Linear normalization, which is most common, involves shifting the number axis so the data is balanced around zero, and then ...

Many studies have used single-cell RNA sequencing (scRNA-seq) to infer gene regulatory networks (GRNs), which are crucial for ...

The Ladder of Inference provides a structured way to challenge assumptions, test conclusions and align decisions with broader ...

Hugging Face has launched the integration of four serverless inference providers, Fal, Replicate, SambaNova, and Together AI, directly into its model pages. These providers are also integrated ...

Now, developers on Hugging Face can, for example, spin up a DeepSeek model ... Face to offer easy and unified access to serverless inference through a set of great providers,” the company ...

These training clusters are "overkill" for many of today’s inference AI workloads and are not the most effective use of AI IT resources. For example, a training cluster could have 800 GPUs and ...

To give you the full quote, sourced from CNBC, the spokesperson said that “DeepSeek is an excellent AI advancement and a perfect example of Test Time Scaling ... with the spokesperson adding that ...

OpenAI used its own o1-preview and o1-mini models to test whether additional inference time compute protected against various attacks.

The way this "accretion disk" of infalling matter spins can tell scientists a lot about a particular black hole — for example, its size and its orientation in space. It also offers insight into ...