Amazon Cloud Technology Adding Code to Generative AI for Chinese Startups Becomes an Important Track
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At the 2023 Amazon Cloud Technology China Summit held this year, Amazon Cloud Technology teamed up with 28 investment and industry institutions to jointly launch the "Amazon Cloud Technology Entrepreneurship Accelerator" to help startups accelerate their growth.It is worth noting that the first "Amazon Cloud Technology Entrepreneurship Accelerator" will focus on startups in the field of artificial intelligence, helping them identify business scenarios in multiple tracks such as generative artificial intelligence, enterprise service software, e-commerce solutions, and intelligent car solutions, quickly launch products, and accelerate global business deployment
At the 2023 Amazon Cloud Technology China Summit held this year, Amazon Cloud Technology teamed up with 28 investment and industry institutions to jointly launch the "Amazon Cloud Technology Entrepreneurship Accelerator" to help startups accelerate their growth.
It is worth noting that the first "Amazon Cloud Technology Entrepreneurship Accelerator" will focus on startups in the field of artificial intelligence, helping them identify business scenarios in multiple tracks such as generative artificial intelligence, enterprise service software, e-commerce solutions, and intelligent car solutions, quickly launch products, and accelerate global business deployment. Among them, the application of generative AI is currently the focus of artificial intelligence technology.
Why are startups an important direction of assistance? Gu Fan, General Manager of the Strategic Business Development Department of Amazon Cloud Technology in Greater China, said, "Startup is an important business unit in Amazon Cloud Technology's strategy
Emerging trends in the field of startups
It is understood that the entrepreneurship accelerator launched by Amazon Cloud Technology is the first phase, with a length of three months. Amazon Cloud Technology will provide free cloud computing resources, including computing power resources, GPU resources, etc., to shortlisted enterprises, and help them find the right track in technology and business, and connect with large enterprises to enter the market. Amazon Cloud Technology can also provide a venture capital network to collaborate with investors to explore more potential projects.
At the same time, this project will provide comprehensive support for startups from four aspects: global venture capital network resource integration, deep empowerment of cutting-edge technologies, global business expansion, and assisting startups in building an innovation culture and mechanism through the Amazon Cloud Technology digital innovation project.
In fact, Amazon Cloud Technology's focus on startups began ten years ago. Hu Ying, Director of Startup Ecology and Investment Business Development for Amazon Cloud Technology in Greater China, introduced that Amazon Cloud Technology has supported entrepreneurs globally for over ten years, and has also supported entrepreneurs in China for over five years. Currently, over 83% of the top 1000 unicorns in the world have grown on Amazon Cloud Technology
The long-term focus on startups has given Amazon Cloud Technology a keen sense of the overall trend changes in the industry. In the view of Gu Fan, General Manager of the Strategic Business Development Department of Amazon Cloud Technology in Greater China, the generative AI basic model in the start-up field showcases a new approach to building artificial intelligence applications. Both to B and to C applications will demonstrate the ability to embed generative AI in the future.
At the same time, the globalization of enterprise business is moving towards a new stage. Amazon Cloud Technology's 10 years of business in China have fully witnessed the upgrading of Chinese enterprises' overseas paradigms and paths. Path upgrade, in simple terms, refers to the transition from physical goods trade to establishing product brands, and gradually upgrading to entertainment, consumption, and pan life experiences. Throughout this process, the upgrading of software capabilities in Chinese enterprises and the strengthening of their understanding of global consumers remain unchanged.
The field of generative AI has become a track for a large number of startups to aim for deep cultivation, "Gu Fan judged." Therefore, the first Amazon Cloud Technology Entrepreneurship Accelerator will focus on 'AI empowering industry change' as the theme, helping 25 Chinese startups from generative AI, enterprise service software/SaaS, e-commerce solutions, smart car industry solutions, and other tracks to explore opportunities and empower their growth
There won't be a big model that takes all markets
Amazon Cloud Technology predicts that generative AI will drive "game rule modification" in multiple fields such as manufacturing and life medicine.
According to data, more than 80 large models have been publicly released nationwide. In addition to the leading enterprises in the science and technology Internet, SenseTime, CloudWalk Technology, IFlytek and other AI enterprises, vertical track enterprises such as Pinpin, Kingsoft Office, Zhihu, start-up enterprises such as Lightyear and Baichuan Intelligence, and scientific research institutes such as Shanghai Artificial Intelligence Laboratory and Harbin Institute of Technology have successively released large models.
For the explosive development of generative AI, Amazon Cloud Technology believes that the basic model of generative AI will not be a "hundred model battle", but it will not be a monopoly. The ultimate success may be in the minority, but the basic model must be a diverse choice, and in this process, helping customers choose the right model is the most important.
At present, no one can fully understand the future of generative AI, but every enterprise hopes to expand in this market, "Gu Fan said. For startups, entering the right track will seize development opportunities.
In this regard, Gu Fan said that the view of Amazon Cloud Technology is that the general big model is the most basic generative AI model at present. On this basis, enterprises not only want to have a broader general basic model, but also need a more in-depth vertical Domain model. At the same time, private data of enterprises must play an important role in generative AI applications, allowing enterprise customers to achieve differentiation by using customized models built from their private data to solve specific problems.
Regarding the overall development trend of technology, Gu Fan emphasized that "the direction of lowering the threshold for using generative AI technology will not change
The correct introduction and use of the basic model is crucial
AIThe correct introduction and use of the basic model is crucial
At present, large language models and generative AI have demonstrated new methods of building artificial intelligence applications through basic models. This also means that for the evolution and iteration of future technologies, it is first necessary for startups to have easy access to the basic models. Secondly, when enterprises use basic model transformation or innovative applications, the development of data and generative applications needs to be increasingly integrated. Among them, startups are an important channel for collecting feedback, and through their feedback, one can understand what is not visible behind the numbers in business growth.
In this judgment, Amazon Cloud Technology provides enterprises with a variety of basic Model selection, ensures the protection and use of private data, and is committed to helping customers optimize costs:.
Gu Fan stated that in the future, there will be some ToC or ToB applications that will embed generative AI, and there will definitely be popular applications in ToC. "In ToB, there will be start-ups and Amazon Cloud Technology to help enterprises solve the last three kilometers of problems, or help enterprises solve problems in the way of Toolchain."
At present, Amazon Cloud Technology, on the basis of providing computing chips, cloud platforms, and a variety of basic model platforms, also helps ToB and ToC users use internal and external industry data to develop private customized models in a safe and controlled manner, and build Killer application for generative AI.
Gu Fan pointed out that "in the development process of large models, it is possible to achieve the switching of large models in the future. Therefore, for enterprises, it is inevitably more important to differentiate data and their own understanding of products and applications
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