


360 Group won the 'China Data Intelligence Industry AI Large Model Pioneer Enterprise' award based on 360 Intelligent Brain
On November 14, the list of "2023 China Data Intelligence Industry AI Large Model Pioneer Enterprises" jointly launched by Data Ape and Shanghai Big Data Alliance was officially released. This selection is an important part of the 2023 (17th) Entrepreneurship Week and Global Entrepreneurship Week China Conference. It aims to commend companies that have made outstanding contributions in the field of digital intelligence and provide reliable guidance for enterprises' digital intelligence transformation. 360 Group entered the list with its 360 Intelligent Brain model and was awarded the "AI Large Model Pioneer Enterprise" award.
360 Intelligent Brain's large model has a scale of hundreds of billions of parameters. It has ten core capabilities and hundreds of subdivided functions such as generative creation, multi-round dialogue, and logical reasoning. It covers all scenarios of large model application, and its comprehensive capabilities rank among the best in the world. The first echelon of large models. It is reported that 360 Intelligent Brain has been upgraded to version 4.0, which not only refreshes the "China Speed" of the large model, but also fully integrates into the 360AI Family Bucket, intelligently reshaping national-level Internet products such as 360 Security Browser, 360 Security Guard, and 360 Search. Laying a solid foundation for comprehensive coverage of intelligent application fields.
At the same time, 360 Intelligent Brain Large Model cooperates with ecological partners to customize vertical proprietary large models for enterprise customers. It has launched cooperative applications in the fields of office writing, government services, cultural tourism digital people, and nearly 20 industries such as finance, medical care, and education, and has achieved comprehensive cooperation with governments and enterprises. By empowering hundreds of industries, we jointly promote the high-quality development of AI industrialization and industrial AI
360 has self-developed four large models, including 360 Intelligent Brain large model, Qiyuan large model, 360 multi-modal large model and 360 safety large model. These large models can be applied in multiple parameters, multiple modes, and multiple scenarios, forming a large model matrix. Among them, the 360 Intelligent Brain large model and the Qiyuan large model have been registered and opened, accelerating their practical application in government, city and industry scenarios
As my country has fully entered a new stage of development with the digital economy as an important engine, AI large models empowering the integrated development of the real economy have become an important driving force in achieving high-quality development. 360 Intelligent Brain's selection as an "AI Large Model Pioneer Enterprise" is not only a high recognition of 360 Group's achievements in the field of artificial intelligence, but also empowers the intelligent upgrading of different domestic industry segmentation scenarios and improves the quality and efficiency of industrial digitization. Provides feasible reference examples
Disclaimer: This content is for reference only and does not constitute investment advice
advertise
The above is the detailed content of 360 Group won the 'China Data Intelligence Industry AI Large Model Pioneer Enterprise' award based on 360 Intelligent Brain. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











On May 30, Tencent announced a comprehensive upgrade of its Hunyuan model. The App "Tencent Yuanbao" based on the Hunyuan model was officially launched and can be downloaded from Apple and Android app stores. Compared with the Hunyuan applet version in the previous testing stage, Tencent Yuanbao provides core capabilities such as AI search, AI summary, and AI writing for work efficiency scenarios; for daily life scenarios, Yuanbao's gameplay is also richer and provides multiple features. AI application, and new gameplay methods such as creating personal agents are added. "Tencent does not strive to be the first to make large models." Liu Yuhong, vice president of Tencent Cloud and head of Tencent Hunyuan large model, said: "In the past year, we continued to promote the capabilities of Tencent Hunyuan large model. In the rich and massive Polish technology in business scenarios while gaining insights into users’ real needs

Tan Dai, President of Volcano Engine, said that companies that want to implement large models well face three key challenges: model effectiveness, inference costs, and implementation difficulty: they must have good basic large models as support to solve complex problems, and they must also have low-cost inference. Services allow large models to be widely used, and more tools, platforms and applications are needed to help companies implement scenarios. ——Tan Dai, President of Huoshan Engine 01. The large bean bag model makes its debut and is heavily used. Polishing the model effect is the most critical challenge for the implementation of AI. Tan Dai pointed out that only through extensive use can a good model be polished. Currently, the Doubao model processes 120 billion tokens of text and generates 30 million images every day. In order to help enterprises implement large-scale model scenarios, the beanbao large-scale model independently developed by ByteDance will be launched through the volcano

1. Product positioning of TensorRT-LLM TensorRT-LLM is a scalable inference solution developed by NVIDIA for large language models (LLM). It builds, compiles and executes calculation graphs based on the TensorRT deep learning compilation framework, and draws on the efficient Kernels implementation in FastTransformer. In addition, it utilizes NCCL for communication between devices. Developers can customize operators to meet specific needs based on technology development and demand differences, such as developing customized GEMM based on cutlass. TensorRT-LLM is NVIDIA's official inference solution, committed to providing high performance and continuously improving its practicality. TensorRT-LL

1. Background Introduction First, let’s introduce the development history of Yunwen Technology. Yunwen Technology Company...2023 is the period when large models are prevalent. Many companies believe that the importance of graphs has been greatly reduced after large models, and the preset information systems studied previously are no longer important. However, with the promotion of RAG and the prevalence of data governance, we have found that more efficient data governance and high-quality data are important prerequisites for improving the effectiveness of privatized large models. Therefore, more and more companies are beginning to pay attention to knowledge construction related content. This also promotes the construction and processing of knowledge to a higher level, where there are many techniques and methods that can be explored. It can be seen that the emergence of a new technology does not necessarily defeat all old technologies. It is also possible that the new technology and the old technology will be integrated with each other.

According to news on April 4, the Cyberspace Administration of China recently released a list of registered large models, and China Mobile’s “Jiutian Natural Language Interaction Large Model” was included in it, marking that China Mobile’s Jiutian AI large model can officially provide generative artificial intelligence services to the outside world. . China Mobile stated that this is the first large-scale model developed by a central enterprise to have passed both the national "Generative Artificial Intelligence Service Registration" and the "Domestic Deep Synthetic Service Algorithm Registration" dual registrations. According to reports, Jiutian’s natural language interaction large model has the characteristics of enhanced industry capabilities, security and credibility, and supports full-stack localization. It has formed various parameter versions such as 9 billion, 13.9 billion, 57 billion, and 100 billion, and can be flexibly deployed in Cloud, edge and end are different situations

Pay attention, this man has connected more than 1,000 large models, allowing you to plug in and switch seamlessly. Recently, a visual AI workflow has been launched: giving you an intuitive drag-and-drop interface, you can drag, pull, and drag to arrange your own workflow on an infinite canvas. As the saying goes, war costs speed, and Qubit heard that within 48 hours of this AIWorkflow going online, users had already configured personal workflows with more than 100 nodes. Without further ado, what I want to talk about today is Dify, an LLMOps company, and its CEO Zhang Luyu. Zhang Luyu is also the founder of Dify. Before joining the business, he had 11 years of experience in the Internet industry. I am engaged in product design, understand project management, and have some unique insights into SaaS. Later he

If the test questions are too simple, both top students and poor students can get 90 points, and the gap cannot be widened... With the release of stronger models such as Claude3, Llama3 and even GPT-5 later, the industry is in urgent need of a more difficult and differentiated model Benchmarks. LMSYS, the organization behind the large model arena, launched the next generation benchmark, Arena-Hard, which attracted widespread attention. There is also the latest reference for the strength of the two fine-tuned versions of Llama3 instructions. Compared with MTBench, which had similar scores before, the Arena-Hard discrimination increased from 22.6% to 87.4%, which is stronger and weaker at a glance. Arena-Hard is built using real-time human data from the arena and has a consistency rate of 89.1% with human preferences.

"High complexity, high fragmentation, and cross-domain" have always been the primary pain points on the road to digital and intelligent upgrading of the transportation industry. Recently, the "Qinling·Qinchuan Traffic Model" with a parameter scale of 100 billion, jointly built by China Vision, Xi'an Yanta District Government, and Xi'an Future Artificial Intelligence Computing Center, is oriented to the field of smart transportation and provides services to Xi'an and its surrounding areas. The region will create a fulcrum for smart transportation innovation. The "Qinling·Qinchuan Traffic Model" combines Xi'an's massive local traffic ecological data in open scenarios, the original advanced algorithm self-developed by China Science Vision, and the powerful computing power of Shengteng AI of Xi'an Future Artificial Intelligence Computing Center to provide road network monitoring, Smart transportation scenarios such as emergency command, maintenance management, and public travel bring about digital and intelligent changes. Traffic management has different characteristics in different cities, and the traffic on different roads
