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

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 ...

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

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

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

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

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 ...

The latest model from the Chinese public cloud provider shows how reinforced learning is driving AI efficiency ...