By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

DeepSeek’s latest training research arrives at a moment when the cost of building frontier models is starting to choke off ...

Chinese AI company Deepseek has unveiled a new training method, Manifold-Constrained Hyper-Connections (mHC), which will make it possible to train large language models more efficiently and at lower ...

The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.

China’s DeepSeek has published new research showing how AI training can be made more efficient despite chip constraints.

DeepSeek has released a new AI training method that analysts say is a "breakthrough" for scaling large language models.