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Alibaba has open-sourced its new inference model, Tongyi Qianwen QwQ-32B, enabling users with consumer-grade GPUs to achieve surprisingly high performance. This makes advanced AI capabilities accessible to a wider audience.

Lenovo Group released its financial performance for the fourth quarter of last year, showcasing strong growth in the technology sector. According to the report, Lenovo's revenue reached 135.1 billion RMB, representing a year-on-year increase of 20%. Net profit also surged significantly to 4.98 billion RMB, with a year-on-year growth rate of 106%. Alongside the earnings release, Lenovo announced a significant technological advancement: it will be the first to achieve local deployment of the DeepSeek large model in the AI PC field, making Lenovo the world's first company to deploy this technology at the endpoint.

Meta has introduced the next-generation large language model Llama 2, which surpasses GPT-3.5 Turbo and Claude 2 on certain tasks. Released in July 2022, Llama 2 offers three different model sizes: 7 billion, 13 billion, and 70 billion parameters. Meta is collaborating with Dell to assist enterprise customers in deploying Llama 2 models locally instead of solely relying on cloud services. The Llama 2 model is open-source and available for research and some commercial use. Meta has partnered with Microsoft and Amazon.

Xiaomi's strategic upgrade focuses on future breakthroughs in 'lightweight and local deployment'. This year, Xiaomi's R&D investment exceeds 20 billion yuan, aiming to apply large model technology in its business. The performance of Xiaomi's mobile-side large model has already matched that of cloud services in certain scenarios.