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Why choose OORT DataHub? What's different from traditional data annotation?

OORT is a Decentralization data cloud platform, aiming to integrate global computing and storage resources, maximize privacy and cost-effectiveness, and provide an enterprise-level, Decentralization solution for generative artificial intelligence and data-driven businesses.

One of the world's largest decentralized cloud infrastructure has been established, with its network Node covering over 100 countries and generating millions of dollars in revenue. The core technology of OORT has been published in top academic journals worldwide and has obtained a US patent. Its globally renowned clients and partners include many industry giants such as Lenovo, Dell, Tencent Cloud, and BNB Chain. OORT has an experienced and highly effective team, as well as a top-level advisory committee composed of global experts. As a result, OORT has established and consolidated its leading global position in the field of DePin in artificial intelligence.

In short, OORT is a one-stop Decentralization AI solution that integrates data collection, data storage, data preprocessing, data computation, AI model design/training/fine-tuning, and deployment. The project aims to combine AI with DePIN. On the one hand, it encourages a wider range of users to participate in contributions in a decentralized manner through a sound incentive model. On the other hand, it brings low-threshold, low-cost, privacy-protected AI services to each user, thus creating a trust-based global AI ecosystem.

OORT aims to build an AI world where everyone contributes, designs, and benefits. To achieve this, it is necessary to establish a framework and build a Decentralization infrastructure layer that can truly aggregate Web2 and Web3 data, and achieve true Decentralization, efficiency, transparency, and cost drop in terms of data storage, retrieval, and computation. Specifically, OORT introduces the Open Source Layer 1 Olympus protocol and incentivizes the ecosystem through the native Token OORT.
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Elephant
· 2024-11-01 12:27
The difference lies in always falling.
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