The recent release of the DeepSeek-R1 model by a Chinese AI startup has significantly impacted the education sector, providing high-level inference performance at a fraction of the typical ...

Post-training scaling is essentially tuning a model’s behavior, while test-time scaling entails applying more computing to inference — i.e. running models — to drive a form of “reasoning ...

Although it is not a new model, it has built-in FP8 quantization support. Also, although the number of parameters is 685 billion, only about 37 billion of them are active during inference ...

Inference engines are separate from the models and can use any model that conforms to the engine's required formats. Large language models that take in trillions of data examples can take weeks ...