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Recently, an open source multimodal AI model named Molmo has drawn widespread attention in the industry. This AI system, based on Qwen2-72B and leveraging OpenAI's CLIP as the visual processing engine, is challenging the dominance of traditional commercial models with its outstanding performance and innovative features. Molmo's standout characteristic is its efficient performance. Despite its relatively small size, it can compete with competitors that are ten times larger in processing capability. This 'small but exquisite' design philosophy not only enhances the model's

Alibaba Group recently released its financial report for the first quarter of fiscal year 2025, highlighting the outstanding performance of Alibaba Cloud. The report shows that Alibaba Cloud's revenue grew by 6% year-on-year, reaching 26.549 billion yuan, with AI-related product revenue achieving triple-digit growth and public cloud business also realizing double-digit growth. Adjusted EBITA profit increased by 155% year-on-year, reaching 2.337 billion yuan.

Recently, Arcee AI has officially launched its latest open-source language model — Arcee-Nova. This new model, based on Qwen2-72B-Instruct, has quickly emerged in the open-source community as one of the most outstanding models. Evaluations show that Arcee-Nova's performance is nearly on par with GPT-4 from May 2023, marking a significant milestone for Arcee AI and bringing new hope to the entire AI community.Arcee-Nova is a sophisticated model that combines Qwen2-72B-Instruct with a custom-tune

At the World Artificial Intelligence Conference in Shanghai, Alibaba Cloud CTO Zhou Jingren announced the latest developments of the Tongyi Large Model and the Alibaba Cloud Baoyan Platform. The download volume of the Tongyi Qianwen open-source model has doubled in two months, exceeding 20 million times. At the same time, the number of clients using Alibaba Cloud Baoyan services has increased from 90,000 to 230,000, achieving a growth of over 150%.Zhou Jingren emphasized Alibaba Cloud's commitme

Recently, the HELM MMLU released its latest results from Stanford University's large model evaluation leaderboard. Percy Liang, director of the Stanford Center for Research on Foundation Models, stated that Alibaba's Tongyi Qianwen Qwen2-72B model has surpassed Llama3-70B in ranking, becoming the best-performing open-source large model.