Project Analysis: Alaya, a Data Provision Service for Artificial Intelligence
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The popularity of Artificial Intelligence (AI) has led to the emergence of projects on this concept. Most of them are focused on modeling applications, and a number of excellent products have appeared. But today we are going to focus on Alaya, a provider of underlying data-based services, which uses the concept of gamification to collect and label data for AI, and finally provide higher quality data to algorithms.
Here we will experience the product Alaya, first of all, visit his official website to view the basic information of the project.
We can understand that Alaya is a gamified AI data training platform, players complete the data collection and labeling in a game way. What the platform mainly accomplishes is the task of collecting and labeling data. So let’s take a look at how Alaya performs this.
After logging in, you can see the Home page and answer questions only if you have NFT, the system will give you an ordinary NFT for users to use, if you need a more advanced NFT you can buy it in the Market, the ordinary NFT can be used to use the simple rights and benefits, with the more rewards you get from answering the questions, you can upgrade the NFT (after completing a certain task, there will be a + symbol on the Home page, click on it to assign properties), after upgrading, you will have more rights and benefits. After assigning attributes, it will consume AIA and time), and more interest will be available after upgrading. Players can add three attributes by themselves: stamina recovery, intelligence bonus (number of questions answered), and AIA bonus.
The core gameplay of Alaya is under the page of Task. After entering the Task page, players can click on the wallet icon in the upper right corner to check their assets, and it is more convenient to operate after linking the wallet.
Click BEGIN to start answering questions, Alaya will make corresponding questions according to the data requirements of the demand side, and the player will answer the questions in the form of a game and get rewarded AIA;
Click Train to start intelligent training, players can automatically get AIA rewards.
Click Task, there will be corresponding tasks, and the completion of the task will be rewarded.
Click Report to get the latest report about the system.
ACTIVE DROUP represents a series of questions, after answering the questions, the player will be rewarded according to the answers, and for the questions in the specialized fields, the player will be given the corresponding medals, which means that the user can further complete the questions in that field.
Clicking on Market brings you to the Market page, where the player is free to sell or buy all types of NFTs and blind boxes.
Clicking on Referral will give the player the opportunity to share the link with their friends and receive a large amount of rewards, not only for inviting friends but also for the user’s share of the rewards in the game.
Click System, players can follow the instructions to complete their own settings.
The above is the product introduction and basic operation of Alaya, you can see that Alaya has made innovation in data collection and labeling in a very novel way, the gamification platform makes it easier for people to participate in data collection and labeling, and the rewards issued after the completion of the task can motivate people to continuously participate, and its internal medal mechanism allows the data to be categorized and pushed to the players who know more about an industry, so that they can get better quality data. The internal medal mechanism allows data categorization to be pushed to players who know more about a certain industry and can obtain better quality data.
Overall, the project has a rigorous underlying logic, but whether it can get a large number of users is still worth looking forward to, whether the user to buy into this form needs to be verified by the market, the design of the Alaya project and the game experience are good, for the future development, let’s look forward that.
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