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

CharacterGLM Pro is Lingxin Intelligence's next-generation ultra-human model, officially launched after 6 months of product testing and optimization. This model leads in aspects such as coherence, human-like qualities, fluency, and engagement, achieving state-of-the-art (SOTA) levels. In cross-comparison tests, CharacterGLM Pro performed exceptionally well on consistency test sets, overall test sets, attack test sets, and online dialogue test sets, achieving the best levels across various metrics. The model utilized multiple test sets, including artificially generated data.

Zhipu has announced the launch of the GLM-4-9B series models, which include base models, Chat models with varying context lengths, and vision models, fully surpassing LLaMA 3 8B. The GLM-4-9B series models have been open-sourced on GitHub, attracting significant attention from developers and researchers. The release of this series is considered another important breakthrough for Zhipu in the field of artificial intelligence.

Zhipu AI unveiled its third generation foundation model ChatGLM3 at the 2023 China Computer Conference. ChatGLM3 features new capabilities including multimodal understanding, code generation and execution, and enhanced web search. After deep optimization, ChatGLM3 has excelled in tests on Chinese and English public datasets. Zhipu Qingyan becomes the first large model product in China with code interaction capability. Zhipu AI looks forward to domestic native large models and domestic chips standing out on the international stage.

The founding team of Zhihui comes from Tsinghua University and has strong technical expertise. Zhihui has quickly responded in the field of large models, successively launching models like GLM and ChatGLM. The performance of Zhihui's models can compete with the GPT series models under OpenAI. Zhihui has launched a full range of products from software to hardware, achieving end-to-end autonomy and control. Zhihui is currently integrating capital and technology to enhance the capabilities of its models.

Zhipu AI has launched the MathGLM mathematical model, aimed at enhancing the performance of large models in mathematical reasoning. MathGLM can accurately compute arithmetic operations, including basic arithmetic and complex mixed operations. MathGLM has shown excellent performance in solving math problems in Chinese. Its performance on arithmetic tasks surpasses that of GPT-4. MathGLM has achieved good results in addressing math problems for different grade levels and solving practical math problems.

Researchers from Tsinghua University and others have introduced MathGLM, a 2 billion parameter language model that outperforms GPT-4 with nearly 100% accuracy in arithmetic tasks. MathGLM utilizes a decoder-only architecture and has significantly improved its mathematical capabilities through training on a large-scale arithmetic dataset. It also surpasses models like GPT-4 and ChatGPT in handling complex mixed arithmetic operations with intricate numerical formats.

{title: Zhipu AI Launches Its First Generative AI Assistant 'Zhipu Qingyan', sourcename: Zhanzhang Zhijia, author: url: https://www.chinaz.com/news/2023/0831/1296083.shtml, classname: Product Application, tags: Zhipu Qingyan, Generative AI Assistant, ChatGLM2, description: Zhipu AI officially launches its first generative AI}