The AI application development platform Coze has announced the launch of its new version—Coze 1.5—at the Volcano Engine FORCE Power Conference. This update marks a significant step forward for the Coze platform in the field of AI application development, aiming to provide users with a more powerful and convenient development environment. The core highlight of Coze 1.5 is its support for a GUI (Graphical User Interface) development interface, allowing one-click publishing to various application formats such as mini programs, H5, and APIs. This feature enables users to quickly build applications based on large models, regardless of whether they have programming knowledge.

At the 2024 Volcano Engine FORCE Power Conference in Winter, ByteDance also launched the Global AI Search on Volcano Engine. This service integrates contextual search recommendations, enterprise private domain information integration, and connected Q&A services, closely aligning enterprise information, business needs, and user demands to help businesses achieve more precise recommendations and broader information discovery.

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.

Google today announced the launch of its latest generation AI model, Gemini 2.0, which is the company's most powerful AI model to date. This significant upgrade not only shows remarkable improvements in performance but also marks an important step towards the era of AI agents. According to Sundar Pichai, CEO of Google and Alphabet, Gemini 2.0 has made groundbreaking advancements in multimodal capabilities and native tool usage. The new model can understand and process text, images, and video.

Sundar Pichai, CEO of Google and its parent company Alphabet, announced the launch of the latest AI model - Gemini 2.0, marking an important step for Google in the development of general AI assistants. Gemini 2.0 shows significant advancements in processing multimodal inputs and utilizing native tools, allowing AI agents to better understand the surrounding world and take actions on behalf of users under their supervision.

Sundar Pichai, CEO of Google and its parent company Alphabet, announced the launch of the latest artificial intelligence model—Gemini 2.0, marking a significant step in Google's efforts to build a general AI assistant. Gemini 2.0 demonstrates significant advances in multimodal input processing and the use of native tools, allowing AI agents to gain a deeper understanding of the surrounding world and take actions on behalf of users under their supervision.

Recently, Alibaba DAMO Academy (Hangzhou) Technology Co., Ltd.'s model open-source community, ModelScope, announced a significant breakthrough: the release of the InternVL 2.5 model. This open-source multimodal large language model has achieved exceptional performance, becoming the first open-source model to exceed 70% accuracy on the Multimodal Understanding Benchmark (MMMU), rivaling commercial models like GPT-4o and Claude-3.5-Sonnet.

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.

Since its launch in 2022, ChatGPT has marked a significant shift in human-computer interaction. What started as a novel experiment has rapidly grown into an indispensable digital tool in many people's daily lives. Statistics show that ChatGPT attracted over one million users within just five days of its launch, and by November 2023, the number of weekly active users reached 100 million. By August 2024, this figure surpassed 200 million, with monthly visits reaching approximately 3.1 billion. Such an impressive user base reflects the impact of ChatGPT.

In the arena of artificial intelligence, China is steadily advancing with a posture of independent innovation. On November 26, the world's first multimodal large model with 100 billion parameters, 'Zidong Taichu' 3.0, was officially unveiled in Wuhan, adding a significant chapter to domestic AI technology. This is not just a technological iteration, but an important milestone in China's AI ecosystem. Jointly developed by the Institute of Automation, Chinese Academy of Sciences, Huawei, and the Wuhan East Lake High-Tech Zone, 'Zidong Taichu' has successfully built the world's first pre-trained model covering image, text, and audio modalities.

Recently, Meta AI open-sourced a foundational multimodal language model named SPIRIT LM, which can freely mix text and speech, opening new possibilities for multimodal tasks involving audio and text. SPIRIT LM is based on a pre-trained text language model with 7 billion parameters, which has been continuously trained on text and speech units, expanding into the speech modality. It can understand and generate text like a large text model, while also being capable of understanding and generating speech, and even mixing text and speech to create various forms of expression.

At this year's Samsung Developers Conference, Samsung officially unveiled the new Gauss 2 AI model, marking another significant advancement in its artificial intelligence endeavors. The Gauss 2 model upgrades in performance and efficiency, with applications ranging from smartphones to home appliances, encompassing a variety of smart devices. Gauss 2 has multimodal capabilities, allowing it to process images, text, and code simultaneously, enhancing the integration of AI into various device ecosystems. Samsung has developed three versions: Compact, Balanced, and

Artificial intelligence is quietly transforming the diagnostic methods in the field of mental health. A research team from Kaunas University of Technology has developed a revolutionary depression diagnosis model that employs multimodal analysis of voice and EEG data, paving the way for precise identification of mental health issues. The core of this research lies in breaking the limitations of traditional single-data diagnostics. The research team chose voice as a key data source because it can subtly reflect emotional states. Speech rate, tone, and emotional energy can all serve as potential signals of depression.

Recently, research teams from Peking University announced the release of an open-source multimodal model called LLaVA-o1, which is claimed to be the first visual language model capable of spontaneous and systematic reasoning, comparable to GPT-o1. The model excels in six challenging multimodal benchmark tests, with its 11B parameter version outperforming competitors such as Gemini-1.5-pro, GPT-4o-mini, and Llama-3.2-90B-Vision-Instruct.