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The former competes with the accumulation of computing power of the cloud vendors themselves, while the latter It relies on partners in the field. Whether it is Alibaba Cloud, Tencent Cloud, or Huawei Cloud, in the past period of time, in addition to multiple signals on the computing power side, the most common thing is the construction of large models in vertical fields, that is, whether based on local deployment or public cloud models, first in the vertical track to train and express domain data, and finally train a domain
model for proprietary tracks; At the same time, based on the negotiation Malaysia Phone Number Data between the two parties, some of its capabilities are released into the public cloud's capability model to further enhance the underlying capabilities of the base model and add this capability to its own products, such as Baidu Library, Tencent's Tencent Conference, and Alibaba DingTalk and so on. In fact, overseas cloud vendors have provided an example in the exploration of large-model ecological models. When ChatGPT became very popular, Microsoft Azure did not choose to
develop large models in-house. Instead, it provided services directly based on GPT through in-depth binding. This approach does not mean abandoning the big model. It can be seen from Microsoft's latest financial report that Microsoft's revenue increased by % year-on-year,who were once restricted by the platform now have a higher degree of freedom, greater bargaining power, and sufficient ability to compete
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发表于 2024-3-10 16:35:39