Alibaba's DAMO Academy (Lakeside Laboratory) has announced a significant breakthrough in Beijing: the 'Baguan' meteorological big model developed based on global meteorological models. This innovative model, named 'Baguan' (meaning 'Insight from All Directions, Observing All Phenomena'), elevates weather forecasting accuracy to unprecedented levels. The most remarkable feature of this meteorological big model is its ultra-high accuracy. By integrating multi-source regional data, the model achieves an ultra-fine prediction resolution of 1 km × 1 km × 1 hour. In practical applications, this model predicts key meteorological indicators with greater accuracy compared to traditional forecasts.

Recent research from Alibaba's Tongyi Laboratory indicates that existing text-to-image Diffusion Transformer models already possess the ability to generate multiple images with specific relational contexts. With just a little 'guidance', they can achieve a synthesis of understanding and produce high-quality multi-image collections. Traditional Diffusion models are more like 'rote learning' students, requiring massive datasets to generate high-quality images. However, with the support of IC-LoRA, they become 'high-achieving students', capable of learning through analogy.

Alibaba recently launched the new AI portrait generation project EcomID, along with its native implementation plugin for ComfyUI. This tool marks a significant breakthrough in the currently popular AI portrait generation field, perfectly inheriting the advantages of InstantID and PulID while achieving innovations in several key metrics. On a technical level, EcomID employs an innovative architectural design. The project draws inspiration from PuLID's ID-Encoder and cross-attention components, significantly reducing training loss through alignment.

Recently, a research team jointly launched an open-source AI image generation model named Meissonic. Surprisingly, this model uses only one billion parameters while being able to generate high-quality images. This compact design gives Meissonic the potential to enable localized text-to-image applications on mobile devices. The technology behind this model involves a research team that includes Alibaba, Skywork AI, and researchers from various universities. They employed a unique transformer architecture and innovative training methods, which allow

Recently, a research achievement by a joint team from Sun Yat-sen University and Alibaba Cloud attracted widespread attention in the scientific community, published in the prestigious international journal 'Cell'. This groundbreaking study utilized advanced cloud computing and artificial intelligence technology to successfully discover over 160,000 entirely new RNA viruses, significantly expanding our understanding of the viral world. The deep learning algorithm developed by the research team, LucaProt, played a key role in this exploration. This powerful AI tool performed in-depth analysis on 10,487 RNA sequencing data sets worldwide.

Following OpenAI's GPT-4 achieving remarkable results in traditional mathematics assessments, the research teams from Peking University and Alibaba have jointly launched a brand new evaluation benchmark - Omni-MATH, aimed at assessing the reasoning abilities of large language models at the level of the Olympic mathematics competitions. This initiative not only provides a new standard for evaluating AI mathematics capabilities but also opens up new avenues for exploring AI's potential in advanced mathematics. The unique design of Omni-MATH includes a database of 4,428 competition-level mathematics problems.

At a recent press conference, Alibaba International's AI team unveiled its latest development, the multimodal large model Ovis. This innovative AI technology undoubtedly brings new opportunities across various industries. Ovis boasts powerful image understanding and data processing capabilities that are refreshing. Ovis's multimodal ability is exceptionally strong, allowing it to handle various data types such as text and images, showcasing excellent comprehensive strength. Compared to traditional large language models, Ovis not only understands text but also conducts in-depth analysis of non-text information such as images.

As the wave of technology sweeps across the globe, generative AI has undoubtedly become a focal point. However, Wu Yongming from Alibaba has presented a deeper insight: the true value of generative AI goes beyond creating dazzling applications; it lies in fundamentally changing the way we interact with the physical world. Wu keenly pointed out that people often fall into the thinking trap of 'overestimating short-term effects while underestimating long-term impacts' in the face of a new technological revolution. This phenomenon is particularly evident in the current fervor surrounding generative AI, with the public generally focusing on the immediate tangible effects that AI can bring.

The 2024 Yunqi Conference opened grandly in Hangzhou, with Alibaba Group CEO and Alibaba Cloud Intelligence Group Chairman and CEO Wu Yongming delivering a keynote speech. During the conference, Alibaba announced a series of groundbreaking releases, including the launch of the next-generation open-source model Qwen2.5, which outperforms Llama405B and firmly holds the position of the 'strongest open-source large model'.

At the 2024 Hangzhou Cloud Habitat Conference, Alibaba Cloud announced the newly upgraded Tongyi Lingma. The upgraded Tongyi Lingma can now quickly complete multiple development tasks such as understanding requirements, breaking down tasks, writing code, fixing bugs, and testing with just a few sentences. Before the upgrade, Tongyi Lingma could only perform basic auxiliary programming tasks. This advancement greatly benefits developers, allowing them to develop an application from scratch in just a few minutes, with an increase in development efficiency by several dozen times! It is reported that since the launch of Tongyi Lingma, it has successfully been adopted by many well-known enterprises, including

Alibaba Group's Tongyi announced that its latest developed AI video generation large model - Tongyi Wanxiang AI Video Generation, is officially online. This technology, with its powerful visual dynamic generation capability, can quickly generate video content with various artistic styles and cinematic quality based on text prompts.

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.