Client Engagement Optimization Consultant
Posted: Wed Dec 18, 2024 5:46 am
It can be divided into three levels: data preparation, model building, and model production. In foreign countries, the industrial chain of AI large models is relatively mature, and a large number of AI infra (architecture) companies have been formed, although this market is still relatively empty in China. On a road full of uncertainty, it is especially important to be the first to find a clear track and establish important milestones early. The AI infra market is still in a chaotic period, and every technology giant hopes to form a closed loop in its own ecosystem. In the country, the giants have their own training structure.
For example, Hw's model has adopted a three-layer indonesia phone number search architecture. The advantage of this architecture is that when the trained large model is deployed in vertical industries, there is no need to repeat the training, and the cost is only from the previous layer. Alibaba has built an integrated foundation for Ko, whether it is , P, or large models, they can be placed on this integrated foundation for training. P- of. And has related layouts that include more than a billion entities. Overall, although the focus of each major factory is different, the main feature is cost reduction and efficiency improvement, and the ability to achieve this is largely due to the "one-stop" closed-loop training system.
In contrast, overseas, the mature AI industry chain has formed a large number of AI infra companies. If developing AI applications is like building a house, then AI infra is the construction team that provides cement and steel bars. The value of the AI infra construction team is that it is an integrated platform that connects the lower computing chip layer with the upper AI application layer, allowing developers to make one-click calls, reduce computing costs, improve development efficiency, and maintain. Excellent performance results. The purpose of AI infra is to make applications simpler and AI implementation more convenient.
For example, Hw's model has adopted a three-layer indonesia phone number search architecture. The advantage of this architecture is that when the trained large model is deployed in vertical industries, there is no need to repeat the training, and the cost is only from the previous layer. Alibaba has built an integrated foundation for Ko, whether it is , P, or large models, they can be placed on this integrated foundation for training. P- of. And has related layouts that include more than a billion entities. Overall, although the focus of each major factory is different, the main feature is cost reduction and efficiency improvement, and the ability to achieve this is largely due to the "one-stop" closed-loop training system.
In contrast, overseas, the mature AI industry chain has formed a large number of AI infra companies. If developing AI applications is like building a house, then AI infra is the construction team that provides cement and steel bars. The value of the AI infra construction team is that it is an integrated platform that connects the lower computing chip layer with the upper AI application layer, allowing developers to make one-click calls, reduce computing costs, improve development efficiency, and maintain. Excellent performance results. The purpose of AI infra is to make applications simpler and AI implementation more convenient.