Recently, Zhejiang University and Alibaba DAMO Academy jointly released a remarkable study aimed at creating high-quality multimodal textbooks from educational videos. This innovative research not only provides new ideas for training large-scale language models (VLMs) but may also change the way educational resources are utilized. With the rapid development of artificial intelligence technology, the pre-training corpus of VLMs mainly relies on visual-text pairs and visually intertwined data. However, much of this current data comes from the web, where the correlation between text and images is weak, and the knowledge density is relatively low.

Today, the Alibaba Cloud Tongyi team officially released the new mathematical reasoning process reward model Qwen2.5-Math-PRM. This model offers two sizes, 72B and 7B, with performance significantly outperforming similar open-source process reward models, especially excelling in identifying reasoning errors. The 7B version of Qwen2.5-Math-PRM astonishingly surpasses the widely popular GPT-4o, marking an important step in Alibaba Cloud's research and development of reasoning models.

The Alibaba Qwen team recently published a paper titled 'Lessons Learned from the Development of Process Reward Models in Mathematical Reasoning' and introduced two new models in the Qwen2.5-Math-PRM series, featuring 7B and 72B parameters respectively. These models break through the limitations of the existing PRM framework in mathematical reasoning, significantly improving the accuracy and generalization ability of reasoning models through innovative techniques. Mathematical reasoning has long been a major challenge for large language models (LLMs), especially regarding errors in intermediate reasoning steps.

Recently, Alibaba Damo Academy launched a multi-modal large language model named Valley 2, designed for e-commerce scenarios. It aims to enhance performance across various fields and expand the application boundaries of e-commerce and short video scenarios through a scalable vision-language architecture. Valley 2 utilizes Qwen 2.5 as its LLM backbone, paired with the SigLIP-384 visual encoder, incorporating MLP layers and convolution for efficient feature transformation.

Recently, Transsion Holdings has partnered with Alibaba Cloud to integrate the Tongyi Qianwen model into the AI phone PHANTOM V Fold2 launched by Transsion's tech brand TECNO, successfully creating a deeply localized 'practical AI.' This phone features a specific AI button, allowing users to invoke the edge-side large model with one click, enabling smooth multi-round AI conversations even in offline environments, as well as functions such as document and call summarization. Transsion and Alibaba Cloud have carried out extensive technological innovations on this phone based on MediaTek chips, including model optimization.

On January 7, 2025, Beijing Zero One Everything Technology Co., Ltd. refuted recent online rumors regarding 'Alibaba acquiring Zero One Everything'. The company clearly stated that these rumors are untrue and denied the related false statements. Zero One Everything emphasized that its collaboration with Alibaba Cloud is based on deep cooperation in technology, computing power, business, and talent, rather than an acquisition relationship.

Today, China Central Television announced that Alibaba Cloud has become the exclusive partner for cloud computing and AI for the Spring Festival Gala, enabling Chinese people worldwide to watch the Gala online. This marks the first time in the history of the Spring Festival Gala that a technology partner has been introduced. Reference for the image: The image is generated by AI, authorized by service provider Midjourney. Alibaba Cloud will provide cloud computing and AI technology support for the Spring Festival Gala, helping Chinese people globally to watch the event online. Currently, Alibaba Cloud operates 85 availability zones across 28 regions worldwide, making it the largest cloud service provider in China and the first in the Asia-Pacific region.

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

Recently, State Grid Corporation announced the launch of China's first trillion-parameter artificial intelligence large model in the power industry - the 'Bright Power Large Model'. They have signed a strategic cooperation framework agreement with Baidu and Alibaba. The officials stated that they will work together with the signing parties to build the Bright Power Large Model and promote the integrated development of energy and power technological innovation and industrial innovation.

According to Yahoo Finance, Chinese artificial intelligence (AI) startup Zhipu announced on Tuesday the completion of its latest funding round, having previously received investments from internet giants such as Alibaba and Tencent last year. The statement reveals that Zhipu's commercial revenue has more than doubled this year. Zhipu is one of the few AI startups in China valued at billions of dollars, receiving substantial investment from local tech giants. In May of this year, Saudi Aramco's venture capital division participated in Zhipu's $400 million funding round, bringing its valuation to approximately $3 billion. AI development.

The Alibaba Tongyi Laboratory voice team announced that its open-source voice generation model CosyVoice has been upgraded to version 2.0. This upgrade marks significant progress in voice generation technology in terms of accuracy, stability, and natural experience. CosyVoice 2.0 achieves bidirectional streaming voice synthesis through the integration of offline and streaming modeling techniques, allowing for a first-package synthesis delay of up to 150ms, thereby significantly improving the responsiveness of voice synthesis.

According to Guangzhou Daily, on December 6th, news that 'ByteDance lured away Alibaba's large model talent with an eight-figure salary' quickly sparked heated discussions on social media. Reports indicate that Zhou Chang, the former technical leader of Alibaba's 'Tongyi Qianwen' large model, announced his departure to start a new venture on July 18 this year, but just two months later, there are reports that Zhou has quietly joined ByteDance. This news has been confirmed by relevant personnel from ByteDance. It is reported that Zhou's move is not a solo endeavor; more than ten members of his team have also joined him at ByteDance.

Alibaba's Damo Academy Tongyi Lab recently announced the open sourcing of a voice processing technology called ClearerVoice-Studio, aimed at enhancing voice quality and intelligibility. As voice technology becomes more widely used, voice quality is gaining increasing attention, especially in situations involving background noise, reverberation, and device pickup, leading to a growing demand for voice processing technology.

Alibaba Cloud, a subsidiary of Alibaba Group, has announced a comprehensive partnership with Meizu. The two parties will work together to promote the application of cloud computing and large model technologies across multiple fields, including smartphones, smart wearable devices, and smart cars. This collaboration aims to deepen technological integration and expand the boundaries of products and services.