After the launch, Alibaba's shares rose over 8% in Hong Kong, which also helped boost the Chinese tech stocks' index by about ...

While DeepSeek-R1 operates with 671 billion parameters, QwQ-32B achieves comparable performance with a much smaller footprint ...

Alibaba is positioned to dominate China's AI market with its groundbreaking, highly efficient QwQ-32B model, surpassing ...

Alibaba’s QWQ-32B is a 32-billion-parameter AI designed for mathematical reasoning and coding. Unlike massive models, it ...

Alibaba developed QwQ-32B through two training sessions. The first session focused on teaching the model math and coding ...

B, an AI model rivaling OpenAI and DeepSeek with 98% lower compute costs. A game-changer in AI efficiency, boosting Alibaba’s ...

This remarkable outcome underscores the effectiveness of RL when applied to robust foundation models pre-trained on extensive ...

Alibaba released and open-sourced its new reasoning model, QwQ-32B, featuring 32 billion parameters. Despite being ...

The model operates with 32 billion parameters compared to DeepSeek's 671 billion, with only 37 billion actively engaged ...

These reasoning models were designed to offer an open-source alternative for the likes of OpenAI's o1 series. The QwQ-32B is a 32 billion parameter model developed by scaling reinforcement learning ...

Alibaba launched new reasoning model comparable to DeepSeek's R1, pledged increased support for AI in China, and committed ...