Sometimes when I feel really tired from work, I go to play games to relax a bit. However, I'm really bad at it and love to play, so I always end up just feeding the enemy. That's why I watch some strategy tutorials.

I have to say that those tutorials are really good. They contain builds and laning tips shared by various experts, and each guide includes the author's name and how many matches it has been verified in, making it easy to see how reliable it is.

The data network in @OpenledgerHQ is actually somewhat like an upgraded version of a strategy library for King of Glory, except that instead of game tips, it stores professional data used for training AI.

In my opinion, the core of the data network is a decentralized data strategy repository. It is not exclusive to any one company, but rather a shared pool formed by everyone contributing their impressive data in their respective fields. This data comes with identification tags, clearly indicating who contributed it and how many rounds of verification it has undergone.

Why is it said that professional data is very important?
General models are like beginners; if they really want to excel in certain areas, they still rely on specialized models. The professional data in the data network has been verified by top-tier players, and models trained with this data will definitely have much higher operational accuracy.

From the perspective of efficiency, professional data is also cost-effective. AI trains on high-quality data, avoiding the waste of computing power on useless information, which naturally leads to higher efficiency. More importantly, the data network allows those who contribute data to receive rewards.

In the end, the data network is like a reliable professional data mutual aid circle, which not only makes AI increasingly powerful but also allows everyone's contributions to be recognized. This model is indeed quite practical in the era of AI.
#OpenLedger # KaitoAI #COOKIE