Inleo AI Development and the Need for Quality Data on Thread

in LeoFinance6 months ago

We have heard about team Inleo plan for AI development specifically for use on thread which will be built on top of the Hive Blockchain. As most people may not know, to train an effective AI model requires access to a large amount of quality data. However, getting quality data has not been an easy thing for AI developers as more of this data is centralized within a few giant tech AI companies. Hence the need for a decentralized database which can only be obtainable on a Blockchain.

While sharing my perspective on AI development on the technology threadcast with Taskmaster earlier today, I mentioned the importance of decentralized AI. Task made an insightful point about the need to focus on building the underlying open layers for decentralized, permissionless databases that start ups can access.

This got me thinking about Inleo team efforts to develop an inclusive community powered AI tools for the platform. AI development requires access to a vast amount of quality data for training, and getting such data is a major challenge. Using a centralized data model often comes with a lot of obstacles as this data is being siloed within the large AI companies who scrap or buy them from platforms. This limits the ability of projects who want to develop AI from scratch to access large scale data.

This is where the need for quality data on Inleo and thread comes into play. With data access provided by users, Inleo has a verifiable base to obtain needed resources for developing inclusive AI tools. By building directly on the platform decentralized database, the inleo AI will be so beneficial for its users.

This is the catch; if a platform develops an inclusive AI tool with the resources from the community database, there are lots of customized benefits that the users on the platform can enjoy.

The first of these benefits is Personalized experiences. In this kind of environment, the AI tool can personalize users' experiences by providing recommendations, information, or activities that are unique to individual user's preferences. This will be so helpful in engagement as users would only have to be dealing with their interest and avoiding anything that may be offensive to them.

An inclusive AI can also help in enhancing users profile, making it so accurate and comprehensive, showcasing users skills, interest and badges or achievements on the Hive platform. This can make it very easy to recognize individual users' potential just from their profile. It can also help community moderators in getting users information easily if needed.

Moreover, an inclusive AI tool can also help in connecting users with similar interests, skills, or goals. For example, if your interest is majorly about crypto related content, you will only see content about crypto on your feeds. This will make content sharing and engagement more profitable because your content now goes directly the right audience.

Additionally, an inclusive AI tool can provide users with community insights like trends, preference and current events on the platform. This means that users can always have the knowledge of community events and participate in them. Users will only need to ask AI what's going on today, and everything will be made knowledgeable to them in one click.

Overall, such an inclusive AI model could come with rewards and recognition for users based on their contributions to the community databases. If it comes to this aspect, users' activities and engagements can improve tremendously on the platform.

Above all, inclusive AI tools have the ability to learn individual behavior based on their activities, and can also learn their writing styles which could make the use of the AI tools more interesting.

The bottom line of everything is that, all the benefits highlighted above can be achieved with the availability of quality databases on Inleo and Hive by extension. Everyone should be encouraged to make quality contributions by adding more quality data daily. Those data could bring benefits for the individual contributors, and open the door for start up businesses to build their products on Hive where they can get access to quality databases. It's a win-win for all!

Posted Using InLeo Alpha

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