The highly anticipated Deepseek V3 is finally open source! This brand-new AI model has achieved significant breakthroughs in multilingual programming capabilities, even outperforming competitors like Claude 3.5 Sonnet V2 in the aider multilingual programming assessment, attracting widespread attention in the industry. It is reported that Deepseek V3 has made a qualitative leap in performance compared to previous versions. Deepseek V2.5 had a success rate of only 17% in the aider assessment, while V3 has surged to 4.

Today, OPPO announced that it has successfully applied the Expert Mixture of Experts (MoE) architecture to mobile devices for the first time globally. This groundbreaking advancement significantly enhances AI processing efficiency, opening new pathways for the further development of terminal AI technologies and laying the foundation for the deep integration of AI and mobile hardware. As AI technology rapidly advances, an increasing number of AI tasks need to be completed on terminal devices. However, large AI models often require powerful computing capabilities, which poses a huge challenge for mobile devices with limited hardware resources. This breakthrough aims to overcome this limitation.

Recently, Japan-based startup Rhymes AI unveiled their first artificial intelligence model — Aria. The company claims that Aria is the world's first open-source multimodal mixture of experts (MoE) model. This model not only possesses the capability to handle various input modalities but also claims to be on par with, or even superior to, several well-known commercial models. The design philosophy of Aria aims to provide exceptional understanding and processing capabilities across diverse input forms including text, code, images, and videos.

The Allen Institute for Artificial Intelligence (AI2) has released an open-source large language model OLMoE, aimed at providing high performance and low-cost solutions. This model employs a Sparse Mixture of Experts (MoE) architecture with 7 billion parameters, but through an intelligent routing mechanism, only 1 billion parameters are used per input token, achieving efficient computation. OLMoE includes both general and instruction-tuned versions, supporting a context window of 4096 tokens. Its training data is sourced from a wide range, including Common Crawl, Dolma CC, and Wikipedia.

QQ Browser has launched the 'PDF Reading Assistant' AI tool supported by Tencent's Mixture of Experts model. This tool can intelligently summarize lengthy documents, saving reading time. Users can quickly obtain the information they need through the smart Q&A feature. The assistant also provides a function for locating original text for easy comparison reading. In the future, the tool will cover more application scenarios, such as Word, Excel, PPT, and web pages.