Cloud computing helps start-ups quickly seize the new hot spot of generative AI

Original title: From basic models, applications to tool chains, cloud computing helps start-ups quickly seize the new outlet of generative AI

News on October 12, McKinsey recently released the "Economic Potential of Generative Artificial Intelligence" report stating that "generative AI can be used in 63 scenarios in 16 business departments to solve specific business challenges and provide enterprises with Bringing a value of US$2.6 to US$4.4 trillion.”

According to Gu Fan, general manager of the Strategic Business Development Department of Amazon Cloud Technology Greater China, every To C or To B application in the future can be rebuilt through generative artificial intelligence. On the one hand, application scenarios in all walks of life are likely to be updated and upgraded by large models. On the other hand, generative artificial intelligence will also bring many new application scenarios. These bring huge development opportunities to start-ups

Gu Fan pointed out that the opportunities for start-ups under the generative AI boom are mainly reflected in three aspects: basic models, generative AI applications, and the demand for tool chains from upstream and downstream industries.

Rewritten content: First of all, the basic model is an important platform at the bottom of generative AI, and many start-ups have joined the wave of basic model entrepreneurship. Adam Selipsky, CEO of Amazon Cloud Technology, has emphasized on multiple occasions that “no basic generative AI model is suitable for all business scenarios.” Similarly, Gu Fan also said, “Enterprises need both large models with wider versatility and Models with deeper capabilities in specialized fields. It will not always be a battle of hundreds of models, but there will not be one big model that will monopolize the market. There will eventually be a few or some winners in the field of basic models, providing diverse opportunities for companies building generative AI applications. Sexual choice.”

Secondly, application is king. Whether it is To C or To B, the application of embedded generative AI capabilities is crucial. Startups should be able to develop their own unique applications. Gu Fan pointed out, "What will really change the 'rules of the game' in the future is to tune and customize the basic model to adapt to specific scenarios and fields of enterprises and industries." Enterprises' private data plays a very important role in generative AI applications. character of. Start-ups must not only make full use of this private data to help various industries build customized models and solve application problems in specific industries, but also have the ability to properly protect the security of these private data

Finally, the explosive demand for generative AI tool chains is also an opportunity for start-ups. As the basic model evolves, public data and private data are used alternately, requiring various tool chains to connect them. For example, from data cleaning, storage, processing, to the formation of customized models, as well as model distillation, performance tuning, etc., the emergence of these new tools and new practices has brought new opportunities to generative AI start-ups.

Gu Fan emphasized, "In the field of generative AI, large companies have business scenarios and data, and start-ups have models and tools. Amazon Cloud Technology can well link large companies and start-ups and help both parties Complete the upgrade of specific application scenarios." For example, by joining the Amazon Cloud Technology Partner Network (APN) or putting their models or applications on the Amazon Cloud Technology Marketplace, start-ups can gain access to large enterprises in various industries to use and deploy them. Opportunities for solutions to promote the implementation of generative AI in enterprise application scenarios. Currently, a number of outstanding start-ups are putting their models or applications on the Amazon Cloud Technology Marketplace, such as the large model start-up Baichuan Intelligence, Enterprise Computing Aesthetics focusing on the intersection of artificial intelligence and design creativity, etc.

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