The Qwen team recently announced the open-source release of their latest multimodal reasoning model, QVQ, marking an important step forward in the capabilities of artificial intelligence in visual understanding and complex problem-solving. This model is based on Qwen2-VL-72B and aims to enhance AI reasoning capabilities by combining language and visual information. In the MMMU evaluation, QVQ achieved a high score of 70.3, demonstrating significant performance improvements over Qwen2-VL-72B-Instruct in several math-related benchmark tests.

The Alibaba Cloud Bairen Model Service Platform recently launched the 'Real-Time Audio and Video Interaction' feature, enabling users to easily build multi-modal AI applications without the need for programming knowledge. This new feature allows users to quickly integrate AI models into Web, iOS, and Android applications and share them with others. Users can create intelligent agent applications through simple steps: first, create a new intelligent agent application, then select and configure the required text, speech, or visual understanding models on the Alibaba Cloud Bairen platform. The platform offers over 200 large models, including

The Tongyi Qianwen team announced the official open source of the latest member of the Qwen family, the Qwen2.5 series language models, three months after the Qwen2 release. This marks one of the largest open source releases in history, including the general language model Qwen2.5, as well as the Qwen2.5-Coder and Qwen2.5-Math models specifically designed for programming and mathematics.

On September 2nd, Tongyi Qwen announced the open sourcing of its second-generation visual language model Qwen2-VL, and launched APIs for the 2B and 7B sizes as well as their quantized versions on the Aliyun Bailian platform for direct user access. The Qwen2-VL model achieves comprehensive performance improvements in several areas. It can understand images of different resolutions and aspect ratios, setting global leading performance on benchmarks such as DocVQA, RealWorldQA, and MTVQA.

Alibaba's cloud computing division has released the new AI model Qwen2-VL, which possesses strong capabilities to understand visual content. It can analyze videos lasting up to 20 minutes in real-time, summarize the video content, answer related questions, and provide online chat support. In third-party benchmark tests, Qwen2-VL surpassed several metrics including Meta's Llama 3.1, OpenAI's GPT-4o, Anthropic's Claude 3 Haiku, and Google's Gemini 1.5 Flash.

On August 30, 2024, Alibaba Damo Academy's Tongyi Qianwen team announced a significant update to its latest achievement—the Qwen2-VL model. The Qwen2-VL model has achieved remarkable improvements in image understanding, video processing, and multilingual support, setting new benchmarks for key performance indicators.