It reflects the broader competitiveness of China’s frontier AI ecosystem,” says Scott Singer, a visiting scholar in the Technology and International Affairs Program at the Carnegie Endowment for ...

Enter the Qwen QwQ 32B, a local reasoning model that’s rewriting the rules of what’s possible in AI. With 32 billion parameters packed into a dense, efficient architecture, this model is ...

QwQ-32B is based on the Transformer architecture that underpins most large language models. Transformer-based LLMs use a machine learning technique called attention to infer the meaning of sentences.