Search AI Products and News

On March 27th, Alibaba launched its first multimodal large model, Qwen2.5-Omni-7B. This model boasts powerful capabilities, handling various input modalities such as text, images, audio, and video, and generating text and natural speech outputs in real-time. This innovative technological breakthrough marks another significant advancement for Alibaba in the field of artificial intelligence. In the authoritative OmniBench multimodal fusion task benchmark, Qwen2.5-Omni achieved...

Baidu recently launched its latest Ernie 4.5 and Ernie X1 large models, both available for free trial on the Ernie Bot official website. Ernie 4.5, Baidu's first native multimodal large model, excels in multimodal understanding and logical reasoning, outperforming GPT-4.5 in various benchmark tests. Its API price is only 1% of GPT-4.5's, attracting significant attention from developers and businesses. Ernie 4.5 demonstrates remarkable advancements in multimodal understanding, showcasing...

Alibaba has announced the launch of its flagship AI application, New Quark. Built upon Alibaba Tongyi's leading reasoning and multimodal large models, New Quark is a comprehensively upgraded, boundless "AI Super Box." New Quark boasts powerful reasoning capabilities and enables multimodal interaction, allowing users to interact with AI in real-time. The AI will think and act based on user needs, continuously adjusting strategies to ensure task completion. This innovative design provides users with both convenience and an engaging experience.

On March 13th, Alibaba officially launched its AI flagship application—New Quark. This newly upgraded Quark, built upon Alibaba Tongyi's leading reasoning and multimodal large models, creates a boundless AI Super Box, offering users a brand-new AI experience.

Google CEO Sundar Pichai announced at a launch event that Google has open-sourced its latest multimodal large model, Gemma-3. This model is attracting significant attention for its low cost and high performance. Gemma-3 offers four different parameter scale options: 1 billion, 4 billion, 12 billion, and 27 billion parameters. Surprisingly, the largest 27 billion parameter model only requires a single H100 GPU for efficient inference, while similar models often require ten times the computing power.

Recently, the Modelers community officially launched Step-Video and Step-Audio, two open-source multimodal large models developed by Step-Star. These models are designed for video generation and voice interaction, respectively, aiming to provide developers and enterprise users with more powerful AI tools. Step-Video, formally known as Step-Video-T2V, is a 30-billion parameter model, making it the world's largest open-source video generation model. This model can directly generate 20...

Today, Step-Chronicles and Geely Automobile Group announced the joint open-source of two models from the Step series of multimodal large models: the Step-Video-T2V video generation model and the Step-Audio voice model. Among them, the Step-Video-T2V video generation model is globally ahead in both parameter count and performance. This model has 30 billion parameters and can directly generate high-quality videos at 540P resolution with 204 frames, ensuring high information density and strong consistency in the generated content. Evaluation results show that

Recently, Hu Han, former chief researcher of the visual computing group at Microsoft Research Asia, officially joined Tencent, where he will be responsible for the development of the Hunyuan multimodal large model. This news has attracted widespread attention in the industry, and Hu Han's addition is believed to inject new vitality into Tencent's artificial intelligence initiatives. Hu Han obtained his bachelor's degree from Tsinghua University in 2008 and his Ph.D. in 2014, studying under the renowned professor Zhou Jie. His doctoral thesis was awarded the Excellent Doctoral Dissertation Award by the Chinese Association for Artificial Intelligence in 2016, showcasing his academic achievements.

On December 30th, Alipay launched its next-generation AI visual search product 'Explore', based on self-developed multimodal large model technology, enabling users to 'explore everything with the eye of AI' and providing faster, more useful, and fun generative search services. Users can let AI recognize plants, pets, and trendy products through the camera when encountering interesting items, get on-the-go travel explanations, check product and medication details, and even enjoy fun interpretations of pet and baby photos, eliminating worries about captions when sharing pictures. The product is now available on Alipay; simply swipe left after clicking 'Scan' on the homepage to find it.

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.

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.

The Beijing ZhiYuan Artificial Intelligence Research Institute, in collaboration with Shanghai Jiao Tong University, Renmin University of China, Peking University, and Beijing University of Posts and Telecommunications, has launched an ultra-long video understanding model named Video-XL. This model is an important demonstration of the core capabilities of multimodal large models and a key step towards General Artificial Intelligence (AGI). Compared to existing multimodal large models, Video-XL shows superior performance and efficiency in processing long videos exceeding 10 minutes.

At a recent press conference, Alibaba International's AI team unveiled its latest development, the multimodal large model Ovis. This innovative AI technology undoubtedly brings new opportunities across various industries. Ovis boasts powerful image understanding and data processing capabilities that are refreshing. Ovis's multimodal ability is exceptionally strong, allowing it to handle various data types such as text and images, showcasing excellent comprehensive strength. Compared to traditional large language models, Ovis not only understands text but also conducts in-depth analysis of non-text information such as images.

On August 23, 2024, the well-known Chinese artificial intelligence company Yunzhisheng announced the launch of its latest research and development achievement – the Shanhai Multimodal Large Model in Beijing. The Shanhai Multimodal Large Model is part of Yunzhisheng's Atlas AI infrastructure, capable of receiving and processing inputs from various modalities, including text, audio, and images, and generating any combination of text, audio, and image outputs in real-time. This capability enables the Shanhai model to not only conduct efficient voice interactions but also provide a conversational experience that is close to natural human dialogue.

Recently, Moore Threads and Shiyin Intelligence announced a strategic partnership to jointly promote the application of domestically produced full-function GPUs in industry large model solutions. The two parties have completed the adaptation work of the Moore Threads Kuaguo Computing Cluster with Shiyin Intelligence's 'A Leaf Light Boat' multimodal large model, integrating their respective advantageous resources in the field of artificial intelligence, and are committed to providing a more intelligent and efficient service experience.

Recently, significant progress has been made in the research and application of multimodal large models. Foreign companies such as OpenAI, Google, and Microsoft have introduced a series of advanced models, and domestic institutions such as Zhipu AI and Jietu Xingchen have also made breakthroughs in this field. These models typically rely on visual encoders to extract visual features and integrate them with large language models, but they face issues such as visual inductive bias due to training

The "LingDong" brand has been meticulously crafted by NetEase Vuex, relying on its independently developed industrial-grade large models and AOP (Artificial Intelligence Operation Perception) technology concept. Two flagship products under the brand, the mining robot and the loading robot, have been put into use in over 50 provincial key projects, serving diverse environments such as mines, ports, mixing stations, and schools. In addition to the robot brand launch, NetEase Vuex also showcased it