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2025-02-26 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >
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Shulou(Shulou.com)11/24 Report--
Large models and generative AI are leading the biggest new wave of technology. The clear signal comes from technologies and products such as Stable Diffusion, ChatGPT, Midjourney and Copilot, which demonstrate explosive user adoption and unprecedented per capita output behind companies.
As an important branch of artificial intelligence, generative artificial intelligence (AIGC) has made breakthroughs in text generation, image design, music creation and other fields, and the number of large model projects shows a trend of blowout growth, which has aroused widespread concern in various industries.
Generative AI has great potential for development.
The breakthrough development of generative artificial intelligence technology has set off an upsurge in the world. As pointed out by industry insiders, exploring the generative AI landing mode that can enable different industry scenarios will become an important direction for the rapid development of global large model enterprises, and the industry application value will also become the core index to judge the large model.
For most enterprises, exploring AIGC application innovation based on large model for vertical scene, vertical industry and vertical field will be the key direction in the future. From the basic big model to the industry big model, the big model should be promoted step by step on the road of landing.
With reference to the development path of mobile Internet, only with the emergence of thousands of AIGC native applications to solve the real needs of production and life, can the large model really go deep into every corner of the social economy, help the industrial upgrading of various industries, promote the rapid recovery of the economy, and profoundly change people's way of life.
In a word, the underlying technology and industrial ecology of generative artificial intelligence have formed a new pattern, and the massive application scenarios in more industries are expected to open in the future. In the future, generative artificial intelligence can replace content creators to complete more basic work such as content mining, material query and call, innovate content production paradigm, and provide the possibility for more artistic and creative content creation.
The big model of subdividing the track is springing up.
A few days ago, NVIDIA (NVDA. Us) announced the largest software extension ever to Metropolis and Isaac, two frameworks on the NVIDIA Jetson platform for edge AI and robots. The NVIDIA Isaac ROS robot framework is fully available, and an extension of NVIDIA Metropolis on the Jetson platform is about to be launched.
Generative AI has "zero sample learning" capability and natural language interface, which can simplify the development, deployment and management of edge AI. NVIDIA has created a Jetson-generated AI lab for developers to take advantage of the latest open source generated AI model to accelerate the development and deployment of edge AI applications. So far, more than 1.2 million developers and more than 10,000 customers have chosen NVIDIA AI and Jetson platforms.
AAPL.US executives have been caught off guard by the industry's sudden artificial intelligence boom and have been busy making up for lost time since the end of last year. According to media reports, Apple plans to integrate generative AI technology into iPhone and iPad as early as the end of 2024. Apple will offer a combination of cloud-based artificial intelligence and "marginal artificial intelligence", which involves more data processing on devices, so it will take some time to see "Apple GPT".
Although it was not revealed in the media until July this year that Apple had established a framework for developing a large language model for Ajax and was secretly developing its own large language model, "Apple GPT", Apple was concerned that the generative AI was much earlier than the outside world thought.
The application of micro-beauty holographic generated AI is outstanding in the industry.
Under the upsurge of generative AI, a technological change is under way. It is reported that WIMI.US, a leading technology integrator in the field of artificial intelligence, has focused on artificial intelligence technology for a long time, carried out cutting-edge basic research such as brain-like intelligence and multimodal intelligence, and focused on tackling key technologies such as large model infrastructure, human-computer interaction, and generative AI. And in this process, the company is actively cultivating its own artificial intelligence innovation platform-holographic cloud platform, focusing on the development of high-performance intelligent chips and sensing devices, and strive to promote the breakthrough of generative AI intelligent computing technology.
The competition around AIGC is getting fiercer, and Weimei holographic is trying to catch up. With the powerful AI gene walking in front of the tuyere micro-beauty hologram, strengthen the application of generative artificial intelligence industry, promote the industrialization development of AIGC in intelligent manufacturing, meta-universe, great health, cultural creativity, network marketing and other fields, promote the intelligent upgrading of key industries, and redefine brand marketing.
In addition, Weimei holography has further expanded from generative AI applications to generative professional marketing, and successively opened up another marketing digital revolution after search and push scenes, live ecology, AI digital people and other marketing, to meet the needs of users. Based on the fact that advertisers need to find brand-new marketing scenes and marketing methods, advertisers look forward to deeper and more intimate two-way communication with users, and micro-beauty holography imperceptibly enhances user trust and stickiness. Help businesses get new growth opportunities.
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According to IDC, global companies will invest US $16 billion in 2023. Thanks to AI tuyere, industry-related expenditure will grow by an average of 73.3% a year, and companies are expected to spend US $143 billion on generative AI solutions in 2027. At present, the rapid development of AIGC continues to bring new changes to various industries, and continues to give birth to new industries, new business type and new business models. Some well-known science and technology giants have developed around their own advantages, and the technology base of science and technology enterprises determines the application value of their generative AI. In the upsurge of technological progress and innovation in the future, it can become a new momentum for the development of digital economy.
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