Kunlun Wanwei has officially released Skywork R1V (referred to as "R1V"), the world's first industrial-grade multimodal reasoning model. This 3.8 billion parameter model's performance is close to the well-known closed-source model DeepSeek-R1, and even surpasses it in several benchmark tests, outperforming a series of current state-of-the-art (SOTA) technologies. Kunlun Wanwei's decision to open-source R1V aims to promote technology sharing and progress, injecting new vitality into the global AI open-source community. R1V is distinguished by its superior multimodal reasoning capabilities.

Remade AI has released 8 open-source LoRAs for Wan2.1, significantly enhancing AI video creation capabilities and sparking excitement within the community.

The GLM-PC base model CogAgent-9B under Zhipu AI has now been open-sourced to promote the development of the large model Agent ecosystem. CogAgent-9B is a specialized Agent task model trained based on GLM-4V-9B, capable of predicting the next GUI action based solely on a screenshot input, combining user-specified tasks with historical operations. This model's versatility makes it widely applicable to various GUI interaction scenarios such as personal computers, smartphones, and vehicle systems.

With the rapid development of artificial intelligence, the integration of visual and language capabilities has led to groundbreaking advancements in visual language models (VLMs). These models aim to simultaneously process and understand both visual and textual data, being widely applied in scenarios such as image captioning, visual question answering, optical character recognition, and multimodal content analysis. VLMs play a significant role in developing autonomous systems, enhancing human-computer interaction, and creating efficient document processing tools, successfully bridging the gap between these two data modalities. However, there are challenges in handling high-resolution visual data and diverse textual input.

Zhipu Technology recently announced the open source of its end-side large language and multimodal model GLM-Edge series, marking an important attempt by the company in real-world use cases at the end side. The GLM-Edge series consists of four different model sizes, including GLM-Edge-1.5B-Chat, GLM-Edge-4B-Chat, GLM-Edge-V-2B, and GLM-Edge-V-5B, which are optimized for mobile platforms such as smartphones and vehicle systems, as well as desktop platforms like PCs.