Beijing Zhiyuan Huazhang Technology Co., Ltd. announced on January 16, 2025, the launch of a series of new models and their availability on bigmodel.cn. Following the release of 'Zhiyuan Qingtalk' in August, the company has delved deeper into the understanding and generation of language, speech, images, and videos, introducing multimodal models such as GLM-Voice, GLM-4V, CogView, and CogVideoX.

According to reports, the U.S. Department of Commerce has added Zhipu AI to its entity list for export controls, accusing it of promoting China's military modernization and infringing on U.S. national security and diplomatic interests. ** This decision makes Zhipu AI the first Chinese large model company to be added to the U.S. entity list, marking a new round of suppression by the U.S. on China's artificial intelligence industry. Zhipu AI subsequently issued a statement emphasizing that the company is based on technology transfer from Tsinghua University and provided a detailed review of its technological development history. Zhipu AI started developing the GLM pre-training architecture in 2020 and launched it in 2022.

On the occasion of the annual completion at Beijing Zhihua Huazhang Technology Co., Ltd., the company released the first generation version of its inference model based on extended reinforcement learning technology — GLM-Zero-Preview. This model focuses on enhancing AI's reasoning capabilities, particularly excelling in mathematical logic, code writing, and handling complex problems that require deep reasoning. Compared to the base model, GLM-Zero-Preview shows significant improvements in specialized task capabilities while maintaining general task abilities.

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.

The Zhihui Qingtalk browser plugin has recently announced its integration with AutoGLM capabilities, marking an evolution of browser plugins into intelligent agents. Now, with the integration of AutoGLM, the Qingtalk plugin can simulate human actions to automatically complete web tasks based on users' text or voice commands, providing users with a 'fully automated' new internet experience. AutoGLM is a large model intelligent interactive agent launched by Zhihui, which can understand user intentions and perform corresponding actions. Currently, this capability has been implemented in Baidu Search, Weibo, and Zhihu.

Recently, Zhipu Company successfully completed a new round of financing, raising 3 billion RMB, attracting participation from multiple strategic investors and state-owned institutions, with existing shareholders such as Guanjun Capital also increasing their investment. The funds will primarily be used for the research and development upgrades of Zhipu's base large model, further enhancing its capabilities in complex reasoning, multimodal task solving, and promoting innovation and development in the industry ecosystem. This marks Zhipu's second round of financing this year. Previously, in September, Zhipu received funding support led by Zhongguancun Science City, becoming the first large model startup to achieve a valuation exceeding 20 billion RMB.

Beijing Zhipu Huazhang Technology Co., Ltd. announced that its Zhipu Open Platform BigModel has launched the first free multimodal API—GLM-4V-Flash. This new model leverages the excellent capabilities of the 4V series, achieving improved accuracy in image processing and further lowering the barriers for developers to delve deeper into large models across various fields.

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.

At today's Zhipu Agent OpenDay event, Zhipu AI's CEO Zhang Peng announced the latest upgrade of the company's smart agent AutoGLM. This upgrade enables AutoGLM to perform complex operations exceeding 54 steps and to complete tasks across applications, marking an important advancement in agent technology for autonomous task completion.

The Zhipu technology team has recently launched a new product based on the research achievements of the GLM technology team—AutoGLM. This agent can simulate human operation of a mobile phone and perform various tasks. The launch of AutoGLM marks a significant advancement in artificial intelligence within the 'Phone Use' domain, making AI applications more relevant to people's daily lives.

Recently, Zhipu AI announced that the video call API: GLM-4-Plus-VideoCall is now open for applications on the platform. This API is based on the model behind Qingyan video calls, capable of enabling video calls and multi-turn voice interaction across modalities, and is expected to become a new paradigm pushing the innovation of human-computer interaction.

Zhipu AI announced today that since being showcased at KDD 2024, its flagship language model GLM-4-Plus and the first dynamic video understanding model GLM-4V-Plus have received widespread recognition, achieving outstanding results on authoritative evaluation lists, breaking the monopoly of foreign models in the top three and positioning themselves at the international elite level.

Recently, Zhipu AI launched its foundational large model GLM-4-Plus, showcasing visual capabilities that rival OpenAI's GPT-4, and announced that it would be available for use starting August 30. This model has made significant advancements in language foundation, text-to-image, image/video understanding, and video generation, becoming the first general video understanding model API in the country, contributing over 20 million downloads to the open-source community. GLM-4-Plus excels in language parsing, instruction execution, and long text processing.

Beijing Zhipu Huazhang Technology Co., Ltd. announced a series of significant technological updates on August 29, 2024, including the release of a new generation foundation model and new application services. At the KDD2024 conference, Zhipu introduced new foundation models including the language model GLM-4-Plus, the text-to-image model CogView-3-Plus, the image/video understanding model GLM-4V-Plus, and the video generation model CogVideoX. These models have achieved international leading standards in their respective fields.

The Zhipu AI open platform has announced the free release of the GLM-4-Flash model, aimed at promoting innovation in AI applications. This model is known for its speed and cost-effectiveness, suitable for quick response to simple tasks, supporting multi-turn dialogue, web browsing, function calls, and long-text reasoning, covering 26 languages. Through optimization techniques such as adaptive weight quantization, parallelization, batching, and speculative sampling, GLM-4-Flash significantly reduces inference costs and has acquired over 10TB of high-quality multilingual data during the pre-training stage.

Beijing Zhipu Huazhang Technology Co., Ltd. recently announced that it will provide the API interface for its GLM-4-Flash large language model free to the public to promote the popularization and application of large model technology. The GLM-4-Flash model shows significant advantages in speed and performance, particularly in inference speed, by employing adaptive weight quantization and parallel processing technologies.

Zhipu AI announces that the LLM GLM-4-Long, which supports ultra-long context lengths, is now available on the open platform bigmodel.cn. This model is designed specifically for processing long texts and can read the equivalent of two copies of 'Dream of the Red Chamber' or 125 papers in one go. It is widely applied in scenarios such as translating long documents, global analysis of financial reports, extracting key information, and building chatbots with ultra-long memory.

Chipsight AI has announced that the GLM-4-9B and CodeGeeX4-ALL-9B models are now supported for deployment via Ollama. The GLM-4-9B is an open-source pre-trained model released by Chipsight AI, which belongs to the GLM-4 series. It demonstrates outstanding capabilities in semantics, mathematics, reasoning, coding, and knowledge in multiple aspects. The CodeGeeX4-ALL-9B is a multilingual code generation model trained based on the GLM-4-9B, which further enhances the code generation capabilities.Ol

Another significant step has been taken in the field of code generation as the Knowledge Engineering Group (KEG) at Tsinghua University and the Data Mining team have launched their latest innovative achievement: CodeGeeX4-ALL-9B. This model is part of the renowned CodeGeeX series and represents the pinnacle of multilingual code generation, setting new performance and efficiency standards for automated coding. The CodeGeeX4-ALL-9B model is a product of extensive training on the GLM-4-9B framework