Validata

Inspiration

The AIGC model is currently highly popular, yet its effectiveness heavily relies on a substantial volume of high-quality data. Given the inconsistencies in network data quality, the resultant models often fall short of expectations. Residual data poses a significant challenge for the AIGC model to effectively utilize. To address this, we introduced the ValidataChain project.

What it does

This initiative aims not only to validate all data accurately but also to ensure that data providers receive a fair level of compensation

How we built it

We use chainlink-api to confirm data rights off-chain and upload the hash value of the data to ensure that the data cannot be tampered with.

Challenges we ran into

Setting of AI confirmation model and use of chainlink API

Accomplishments that we're proud of

While ensuring that each data provider can obtain benefits, the trained model is robust enough.

What we learned

chainlink api use and aigc model connection with blockchain

What's next for Validata

Make the model more robust to a variety of data

Built With

• chainlink
• hardhat
• javascript
• solidity
• tencent