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

A dense AI model with 32B parameters, excelling in coding, math, and local deployment. Compact, efficient, and powerful ...

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

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

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

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 latest contender is Manus, a Chinese AI agent being hailed as the next potential "DeepSeek moment." ...

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