AI agent tool Manus announced a strategic partnership with Alibaba's Tongyi Qianwen to launch a Chinese version. This collaboration will leverage Tongyi Qianwen's open-source model and utilize domestic computing platforms to implement Manus' full functionality, aiming to provide Chinese users with a more convenient and efficient AI application experience. Manus is a project incubated by the startup Monica.im, founded in July 2023, which focuses on developing consumer-oriented AI tools and browser extensions. The founding team...

Against the backdrop of rapid advancements in artificial intelligence, research and applications of AI large models are booming. Recent developments from various companies and institutions in this field have garnered significant attention. Firstly, Nvidia's price-to-earnings ratio before the launch of ChatGPT attracted considerable attention on Wall Street, with experts suggesting this might foreshadow a repeat of Apple's success story in 2008. Meanwhile, Yu Feng, CIO of Guotai Junan Securities, stated that the rise of AI large models will propel the securities industry into an era of "intelligent cognition".

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.

The automotive market is experiencing another wave of intelligent upgrades! Leapmotor, a leading domestic new energy vehicle brand, today announced that its new model, the Leapmotor B10, will officially begin pre-sales on March 10th. This new car, upon its unveiling, immediately ignited market anticipation with its hard-core configuration of "150,000 RMB class first-ever laser radar urban intelligent driving" and cutting-edge technology of "built-in DeepSeek and Tongyi Qianwen dual AI models." It has been hailed by the industry as the 'Intelligent Driving King' of the 150,000 RMB automotive market! According to the latest pre-release information from Leapmotor, the Leapmotor B10...

On February 25th, Alibaba announced the launch of QwQ-Max-Preview, a reasoning model based on Qwen2.5-Max, and plans to fully open-source its latest reasoning models, QwQ-Max and Qwen2.5-Max. The released QwQ-Max-Preview is a preview version. Alibaba stated that the official version will be released soon and fully open-sourced under the Apache2.0 license. Unlike previous releases, this open-sourcing includes not only the model itself but also smaller versions such as Q...

Recent reports indicate that Alibaba will collaborate with Apple to develop new artificial intelligence features for iPhone users in the Chinese market. This initiative is seen as an important strategy for Apple to address declining sales in China, aiming to provide a more appealing software experience for users. Insiders reveal that Apple has been testing various AI models from well-known Chinese developers since 2023. After a series of evaluations, Apple partnered with Baidu last year, becoming its primary AI technology supplier.

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.

The latest collaboration between Aliyun and Hezhima Intelligent has sparked a new wave in the domestic smart car sector. Aliyun announced that its Tongyi Qianwen models with 1.5 billion and 3 billion parameters have been successfully ported to the Hezhima Intelligent Wudang C1200 series automotive-grade chip, marking a significant breakthrough for domestic large models in vehicular scenarios. In practical applications, this integrated solution supports multi-turn natural dialogue in offline environments, providing users with a smooth human-computer interaction experience. This technological breakthrough not only demonstrates the R&D capabilities of domestic AI chips but also injects new momentum into the development of smart cars.

Alibaba DAMO Academy, in collaboration with the ModelScope community, recently announced the open sourcing of a new multilingual benchmark testing set, P-MMEval, aimed at comprehensively evaluating the multilingual capabilities of Large Language Models (LLMs) and conducting comparative analysis of cross-language transfer abilities. This testing set covers efficient datasets for both basic and specialized capabilities, ensuring consistency in multilingual coverage across all selected datasets, and provides parallel samples across multiple languages, supporting up to 10 languages from 8 different language families, including English, Chinese, and Arabic.

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.

The Aliyun Bailing platform recently announced the launch of the Qwen2.5-Turbo million long text model, developed by the Tongyi Qianwen team. The Qwen2.5-Turbo model supports processing ultra-long contexts of up to 1 million tokens, equivalent to 1 million English words or 1.5 million Chinese characters.

The Tongyi Qianwen team recently announced the open sourcing of their latest Qwen2.5-Coder full series, aimed at promoting the development of Open Code LLMs. Qwen2.5-Coder has garnered attention for its power, diversity, and practicality. The Qwen2.5-Coder-32B-Instruct model has achieved SOTA levels in coding capabilities, comparable to GPT-4o, demonstrating comprehensive abilities.

Tongyi AI, a subsidiary of Alibaba, publicly clarified recent marketing investment data for AI products that was circulated online. Previously, it was reported that multiple AI products had advertising expenditures reaching the hundred million level in the third quarter, which attracted significant attention, particularly regarding specific figures related to Tongyi Qianwen. According to Tongyi AI's official response, the rumored figures of 4.5 million investment for Tongyi Qianwen in Q3 and 900,000 in the first 20 days of October are severely inconsistent with the actual situation. The official statement clearly indicated that the actual investment is far lower than the rumored figures, but did not disclose the real investment amount.

During the opening ceremony of the 2024 Yunqi Conference held today, Wu Yongming, director and CEO of Alibaba Group, as well as chairman and CEO of Alibaba Cloud Intelligent Group, delivered a speech sharing profound insights on the development of Artificial Intelligence (AI). He revealed that over the past year, the call price for the Tongyi Qianwen API on Alibaba Cloud's Bai Lian has dramatically dropped by 97%, with the cost of calling one million tokens now as low as 0.5 yuan, and Alibaba Cloud will continue to strive to reduce costs.

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 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.

Alibaba's Tongyi Qianwen team has released a math model named Qwen2 Math Demo, which excels at processing mathematical problems in text input and formulas in images and screenshots. It even surpasses GPT-4 on the MATH dataset, improving the score by 9.6%. The model has three versions, with the 72B version being particularly outstanding, outshining GPT-4 in challenging math problems and also outperforming Llama-3.1 on classic test sets like GSM8K and MATH.