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

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

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

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 ...

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 ...

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

BEIJING -- A Chinese open-source AI model is shown to rival top-tier global competitors such as DeepSeek R1, despite its ...

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 ...