About Teach AI
The application allows the the user to submit instructions and queries to an AI chat interface, the smart contract acts as a middle-man between the user and hosted (centralized unsecured or Cartesi) LLM. The user can rate two responses to their prompt, creating an incentivized system to curate high-quality RLHF data. The user pays a query fee for the initial prompt and receives a rebate for providing feedback on the responses. All data is tracked on-chain, indexed by The Graph, and with the ability to offer state checks of the model through Cartesi. As the model is tuned, datasets used for tuning can be uploaded to IPFS, and verified by The Graph, and checkpoints from Cartesi can be recorded in the smart contract, providing a fully transparent lineage of LLM evolution.
How it's Made
The application was developed using the Scaffold ETH and WAGMI libraries for blockchain functionality. Additionally, we employed The Graph and Cartesi libraries. For the front-end technology, we utilized React JS along with Biconomy and Worldcoin. The application allows the user to recharge their account using fiat.