Search AI Products and News

Global renowned open-source AI platform Hugging Face recently released the open-weight model contributor ranking. Chinese teams Qwen and DeepSeek successfully ranked in the top 15, showcasing China's technical strength and influence in the global open-source AI field. This ranking honors the teams that provide high-quality model weights to the open-source community, with their models widely applied in academic and industrial innovation. The Qwen team supported by Alibaba Cloud Intelligence Group has gained favor from the community due to the excellent performance of its Qwen3 series models in tasks such as instruction following and code generation.

Recently, Hugging Face's open-source project LeRobot has drawn significant attention from the industry. This project provides developers with an efficient and easy-to-use AI development platform for robotics by integrating the most advanced machine learning algorithms and convenient toolchains, marking what could be considered a 'Transformer Moment' in the field of robotics. A unified interface that adapts to various hardware: One of the major highlights of the LeRobot project is its unified hardware interface design, which can seamlessly adapt to multiple types of robot hardware, including robotic arms, cameras, motors, and more.

In the rapidly developing field of artificial intelligence today, Alibaba officially open-sourced its new Qwen3 Embedding model series on June 6th. Based on the Qwen3 foundation model, this model is optimized for tasks such as text representation, retrieval, and ranking, marking another significant breakthrough for Alibaba in the AI field. Compared to the previous version, Qwen3 Embedding has achieved over a 40% performance improvement in core tasks such as text retrieval, clustering, and classification. This progress not only makes it more competitive

Recently, the Beijing Academy of Artificial Intelligence (BAEI), in collaboration with Shanghai Jiao Tong University and other institutions, officially released a new generation of ultra-long video understanding model - Video-XL-2. The introduction of this model represents a significant breakthrough in the field of open-source ultra-long video understanding technology, injecting new vitality into the development of multimodal large models for understanding long video content. In terms of technical architecture, Video-XL-2 mainly consists of three core components: a visual encoder, the Dynamic Token Synthesis (DTS) module, and a large language model (LLM). The model adopts

Recently, the Natural Language Intelligence Team of the Tongyi Lab officially released and open-sourced VRAG-RL — a multi-modal RAG reasoning framework driven by visual perception. It aims to solve the problem of how AI can retrieve key information and conduct fine-grained reasoning from visual languages such as images, tables, design drafts, etc., in real-world business scenarios. Retrieving and reasoning about key information in complex visual document knowledge bases has always been a major challenge in the AI field. Traditional retrieval-augmented generation (RAG) methods struggle when handling visually rich information because they find it difficult to...

Alibaba has released its innovative autonomous search AI agent - WebAgent - on GitHub. This AI agent features end-to-end information retrieval and multi-step reasoning capabilities, enabling it to actively search, analyze, and make decisions in network environments like humans. Its release will greatly enhance researchers' efficiency in acquiring and organizing information.

The open-source large model field has received another major message. DeepSeek recently released the latest 0528 version of the R1 model quietly. This move has attracted widespread attention in the AI developer community. Notably, DeepSeek adopted a very low-key release strategy this time, neither releasing detailed technical specification documents nor holding any form of release event, but instead chose to quietly open model downloads. As usual, the official is expected to release a full model card in the near future, where more information about the new version's features will be published.

Welcome to the 【AI Daily】 column! This is your guide to exploring the world of artificial intelligence every day. Here we bring you hot content in the AI field, focusing on developers to help you gain insights into technical trends and understand innovative AI product applications. Fresh AI products click to learn more: https://top.aibase.com/1. The world's first Office intelligent agent APP! Kunlun Wonderworks TianGong Super Intelligent APP launched by Kunlun WonderWorks Group.

In the field of computer use agents (Computer Use Agent), there is an exciting development recently. The research team from Shanghai Jiao Tong University and SII, by using only 312 human-labeled operation trajectories, successfully trained a new generation of open-source computer agents named PC Agent-E, with a performance increase of up to 241%, surpassing the famous Claude3.7Sonnet and becoming the optimal model on the Windows system. Since Anthropic

Recently, Mistral AI, headquartered in Paris, France, in partnership with All Hands AI, has launched an open-source AI model designed specifically for software development — Devstral. This model boasts up to 24 billion parameters and is currently in the "research preview" stage, released under the Apache2.0 open license, allowing developers and enterprises to use it freely in commercial applications. The release of Devstral marks a significant step forward for AI in the programming field.