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AI models shape the market pattern, and WiMi builds and explores the “AIGC + IP” content matrix

AI models shape the market pattern, and WiMi builds and explores the “AIGC + IP” content matrix
From text generated text to text generated video, large models represented by Sora and GPT-4o can transform instructions and corpora into real productivity, leading a new wave of global artificial intelligence technology and industry.
AI, as a catalyst, can promote economic growth, lead industrial upgrading, and create new economic vitality points. At the just-concluded World Artificial Intelligence Conference WAIC, the big model companies are all working hard to show off their latest progress.
AI models shape the market pattern, and WiMi builds and explores the “AIGC + IP” content matrix
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AI development is even more dazzling
Artificial intelligence has become an important engine and a backbone for the development of new-quality productive forces. In fact, based on independent innovation, many technology companies have gradually built AI technology systems and industrial innovation ecosystems, including smart chips, large models, and applied technologies.
Industry experts believe that around on the depth of the artificial intelligence industry layout, will accelerate the development of artificial intelligence and the real economy integration, through the vertical industry, the depth of the key scene, can create new products, services and business model, effectively promote AI technology innovation, industrial transformation and upgrading and social economic structure change.
AI models shape the market pattern, and WiMi builds and explores the “AIGC + IP” content matrix
On the other hand, the rapid iteration of AI technology and the rapid development of the industry have become a new track for enterprises to compete for layout. Apple (AAPL) has officially announced its personal intelligent system Apple Intelligence, which Apple says will deeply integrate Apple Intelligence into iOS 18, iPadOS 18 and macOS Sequoia, introducing generative models for iPhone, iPad and Mac.
Recently, Tencent (TCEHY) released its self-developed version 2.0. The upgraded Xingmai network supports single cluster 10 0,000 card network, The network communication efficiency is increased by 60% than the previous generation, and the training efficiency of large model training is improved by 20%.
According to Tencent, the deployment location of the self-developed communication protocol TiTa 2.0 has been transferred from the switch to the network card, and the congestion algorithm has also been upgraded from passive congestion algorithm to active congestion control algorithm, which improves the communication efficiency of the star pulse network by 30% and improves the training efficiency of the large model by 10%.
In addition, Huawei’s Pangu series of artificial intelligence model also released version 5.0, further performance upgrades. In order to match different business scenarios in different industries, Pangu 5.0 has launched a variety of specification models.
WiMi improves the infrastructure for the AI era
At the same time, in view of the current artificial intelligence, the “big model” is the key area of industrial layout. It is understood that AI industry leader WiMi Hologram Cloud (NASDAQW: WIMI), has been actively promoting AI, intelligent innovation and development, its past long accumulation of digital technology, digital base in played a positive role in the process of artificial intelligence industry development, have obvious talent advantages, technical advantages and industrial chain advantage, and foster AI and the real economy integration development, constantly optimize the industry ecology.
Based on the deepening of “AI” development strategy, WiMi with full stack leading AI infrastructure and open model of ecology, on the basis of the unique industry characteristic and advantage, fu can line to accelerate the ground AIGC application, for intelligent car, Internet of things, financial and IoT enterprise scenarios into surging power, and make the force to more flexible scheduling and release, with low latency force combination to model training bring convenient, efficient and stable support, to continue to explore large model vertical industry applications.
It is worth mentioning that, in order to meet the needs of the AIGC era, AI has a wide range of application scenarios in the entertainment and advertising creative industries, which can continuously release and upgrade the content productivity of related industries. In this regard, WiMi is deeply applied to the creation of its own IP and the creation of related content, expanding to diversified AI scene applications such as virtual IP, metauniverse, live broadcasting, and deeply building a new pattern of AI industry development such as games, music, film, animation, digital people, and metauniverse.
To sum up
As a powerful driver for the development of new quality productivity, countless AI applications are reshaping the business model of all industries, which can add energy to the high-quality development of digital economy and the intelligent upgrading of all industries. We can firmly believe that AI is a technical tool for human beings. The construction and application of artificial intelligence technology can meet human needs, enhance people’s ability, and make human life better.
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